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  • 1.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    A FRAMEWORK FOR A SUSTAINABILITY TRANSITION OF TWO ENGINEERING MASTER’S COURSES2023In: Proceedings of the International CDIO Conference, Norges teknisk-naturvitenskapelige universitet , 2023, p. 67-83Conference paper (Refereed)
    Abstract [en]

    Sustainability, as a concept, is permeating most of today’s human activities, including higher education. The increased importance put on sustainability depends largely on the increased awareness of the huge environmental, social, and economic challenges that humanity is currently facing. As is the case with most complex themes, the route towards the application of appropriate actions starts with enlightenment developed within education, where different engineering programs form important subareas. To address this, CDIO Syllabus 3.0 in general, but optional standard 1 in specific, does now to an even greater extent handle sustainability issues. This paper presents a framework that is built upon several key concepts that are strongly related to education for sustainable development (ESD) at the university level, such as key sustainability concepts (as defined by UNESCO), sustainability development goals (as defined by the United Nations) and constructive alignment (as defined by Biggs and Tang). The framework is applied to two engineering master’s courses where sustainability concepts and development goals are integrated and constructively aligned in the learning outcomes, teaching and learning activities, and assessments. Through the analysis of the two courses concerning sustainability, the framework is shown to provide a means for the analysis of how sustainability is currently incorporated in a course, highlight what possible teaching/learning shortcomings exist, and help identify actions that can be taken to overcome these shortcomings. The objective of the framework is thus to support course managers in the development of appropriate actions related to sustainability.

  • 2.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Higher education thesis supervision: A new, hybrid supervisory model2022In: Proceedings of the 18th International CDIO Conference / [ed] M. S. Guðjónsdóttir et al., Reykjavík: Reykjavík University , 2022, Vol. 18, p. 160-173Conference paper (Refereed)
    Abstract [en]

    One of the final courses, if not the last course at university level in Sweden, and especially within the engineering programs, is a thesis course where the students demonstrate their accumulated knowledge and skills. One, or sometimes two students, identifies a topic of interest within his/her main field of study and is guided through the process by a supervisor. Preferably the supervisor has a lot of experience, both within the main field of study and as a thesis supervisor. Many times, however, the latter is not always the case. Hence, some form of recording of the supervisory process would be of importance, to be able to assess the supervisory competence of the supervisor. Through this recording, potential weak supervisory spots can be identified, and a special focus could be put on these.

    In literature several supervisory models have been proposed over the years. The goal of this paper is to demonstrate, through a case study, how three of these models can be successfully combined to a hybrid model around the supervisory process building on grounded theory. A combination of the three models together identifies the individual supervisory process of a thesis supervisor. An analysis is then performed, and weak spots in the supervisory process of a novice supervisor can thus be identified and addressed. The results presented in this paper are based on a case where an experienced thesis supervisor was observed during asupervisory session. Hence, the case forms a baseline of what a “good” supervisory session looks like. By applying the hybrid supervisory model on a novice thesis supervisor, possible weaknesses in the process can be identified.

    As both students and teachers are involved in a one-to-one teaching-learning activity during the thesis process, CDIO standards such as number 8 (active learning) is important from the students’ point-of-view, but especially standard number 10 (enhancement of faculty teaching competence) is of high importance as the competence of the novice supervisor, or the lack thereof, becomes evident and can be appropriately addressed through especially designed activities.

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    Proceedings
  • 3.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Almusaed, Amjad
    Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.
    Conway, Patrick L. J.
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Hansen, Åsa
    Jönköping University, School of Engineering, JTH, Physics and Mathematics and Chemical Engineering.
    Rico-Cortez, Marisol
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Hybrid education: A critical review into challenges and opportunities2023In: Proceedings of the International CDIO Conference, Norges teknisk-naturvitenskapelige universitet , 2023, p. 857-865Conference paper (Refereed)
    Abstract [en]

    Hybrid education is a complex combination of simultaneous face-to-face and online teaching. This model of teaching comes with a wide range of benefits, primarily being able to offer the same content to a wider audience. Hybrid education became an effective form of teaching during the COVID-19 pandemic. In these post pandemic years, the benefit of hybrid education can still be utilized, allowing for improved flexibility in teaching schedules, engaging students in interactive learning, bringing online students closer to the teacher and face-to-face students, and offering education to students who could not otherwise participate. However, with all the benefits of hybrid education, there are some significant challenges which restrict the implementation or hinder the full potential of hybrid education. Some key challenges are student engagement from the online students with the teacher as well as with other students, technological requirements, physical classroom set-up, education of the teachers, and time investment in re-structuring courses. In this article, we review the challenges of hybrid education, strategies to address these challenges focusing on implementation and effectiveness, as well as evaluating student feedback from students at Jönköping University that have been a part of hybrid education. 

  • 4.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Automatic generation of fuzzy inference rules in a reshoring decision context2019In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM , 2019Conference paper (Refereed)
    Abstract [en]

    This paper presents a decision-support system for reshoring decision-making based on fuzzy logic. The construction and functionality of the decision-support system is briefly outlined and evaluated in a highcost environment contemplating six specific decision criteria, namely cost, quality, time, flexibility, innovation and sustainability. A major challenge with fuzzy logic solutions has to do with the construction of the fuzzy inference rules. In the relocation domain, the fuzzy inference rules represent the knowledge and competence of relocation experts and they are usually created manually by the same experts. One obstacle is that the complexity of the fuzzy inference rules increases with the number of decision criteria. To overcome this complexity issue, this paper presents a solution whereby the fuzzy inference rules are automatically generated by applying one hundred reshoring scenarios as input data. The reshoring decision recommendations produced by the fuzzy logic decision-support system are demonstrated to be close to those of human reshoring domain experts.

  • 5.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design. Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Semi-Automatic Generation of a Fuzzy Inference System in a Reshoring Context2020In: SPS2020: Proceedings of the Swedish Production Symposium, October 7–8, 2020 / [ed] K. Säfsten & F. Elgh, IOS Press, 2020, Vol. 13, p. 599-609Conference paper (Refereed)
    Abstract [en]

    Reshoring can be regarded as offshoring in reverse. While offshoring mainly has been driven by cost aspects, reshoring considers multiple aspects, such as higher quality demands, faster product delivery and product mass-customization. Where to locate manufacturing is usually a purely manual activity that relies on relocation experts, hence, an automated decision-support system would be extremely useful. This paper presents a decision-support system for reshoring decision-making building a fuzzy inference system. The construction and functionality of the fuzzy inference system is briefly outlined and evaluated within a high-cost environment considering six specific reshoring decision criteria, namely cost, quality, time, flexibility, innovation and sustainability. A challenge in fuzzy logic relates to the construction of the so called fuzzy inference rules. In the relocation domain, fuzzy inference rules represent the knowledge and competence of relocation experts and are usually generated manually by the same experts. This paper presents a solution where fuzzy inference rules are automatically generated applying one hundred reshoring scenarios as input data. Another important aspect in fuzzy logic relates to the membership functions. These are mostly manually defined but, in this paper, a semi-Automatic approach is presented. The reshoring decision recommendations produced by the semi-Automatically configured fuzzy inference system are shown to be as accurate as those of a manually configured fuzzy inference system. 

  • 6.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Fuzzy logic based decision-support for reshoring decisions2018In: Proceedings of the 8th International Conference on Operations and Supply Chain Management, 2018Conference paper (Refereed)
  • 7.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University / School of Engineering.
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Test case quality as perceived in Sweden2018In: Proceedings - International Conference on Software Engineering / [ed] Michael Unterkalmsteiner, ACM Digital Library, 2018, p. 9-12Conference paper (Refereed)
    Abstract [en]

    In order to reach an acceptable level of confidence in the quality of a software product, testing of the software is paramount. To obtain "good" quality software it is essential to rely on "good" test cases. To define the criteria for what make up for a "good" test case is not a trivial task. Over the past 15 years, a short list of publications have presented criteria for "good" test cases but without ranking them based on their importance. This paper presents a non-exhaustive and non-authoritative tentative list of 15 criteria and a ranking of their relative importance. A number of the criteria come from previous publications but also from discussions with our industrial partners. The ranking is based on results collected via a questionnaire that was sent out to a limited number of randomly chosen respondents in the Swedish software industry. This means that the results are more indicative than conclusive.

  • 8.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Eriksson, David
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Knowledge intensive decision support for reshoring decisions2018In: Proceedings of the 30th Annual NOFOMA Conference: Relevant Logistics and Supply Chain Management Research, Kolding, 2018Conference paper (Refereed)
  • 9.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Eriksson, David
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Reshoring decision support in a Swedish context2018Conference paper (Refereed)
    Abstract [en]

    This paper presents a decision-support system for reshoring decision-making based on fuzzy logic. The construction and functionality of the decision-support system are described, and the functionality is evaluated in a high cost environment exemplified through a Swedish context. Ten different reshoring scenarios, provided by Swedish reshoring experts, are entered into the decision-support system and the decision recommendations provided by the system are presented. The confidence that can be put on the recommendations is demonstrated by comparing them with those of the reshoring experts. The positive results obtained indicate that fuzzy logic is both feasible and that the quality of the results are sufficiently good for reshoring decision-making.

  • 10.
    Hilletofth, Per
    et al.
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management. Department of Industrial Engineering and Management, University of Gävle, Sweden.
    Sequeira, Movin
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Three novel fuzzy logic concepts applied to reshoring decision-making2019In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 126, p. 133-143Article in journal (Refereed)
    Abstract [en]

    This paper investigates the possibility of increasing the interpretability of fuzzy rules and reducing the complexity when designing fuzzy rules. To achieve this, three novel fuzzy logic concepts (i.e., relative linguistic labels, high-level rules and linguistic variable weights) were conceived and implemented in a fuzzy logic system for reshoring decision-making. The introduced concepts increase the interpretability of fuzzy rules and reduce the complexity when designing fuzzy rules while still providing accurate results.

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    Full-text
  • 11.
    Resmini, Andrea
    et al.
    Jönköping University, Jönköping International Business School, JIBS, Informatics.
    Tan, He
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    #ViewFromTheOffice - Reconceptualizing the Workplace as an Information-based Ecosystem2016In: Proceedings of the 6th STS Conference on Socio-technical Ecosystems, 2016Conference paper (Refereed)
  • 12.
    Rosengren, Anna
    et al.
    Jönköping University, School of Engineering.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Almusaed, Amjad
    Jönköping University, School of Engineering, JTH, Civil Engineering and Lighting Science.
    Conway, Patrick L. J.
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Hansen, Åsa
    Jönköping University, School of Engineering, JTH, Physics and Mathematics and Chemical Engineering.
    Jensen, Leif-Magnus
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Olofsson, Jakob
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Rico-Cortez, Marisol
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Svensson Durics, Matilda
    Jönköping University, School of Engineering.
    Collegial learning during the pandemic: Realized activities and lessons learnt2022In: Proceedings of the 18th International CDIO Conference / [ed] M. S. Guðjónsdóttir et al., Reykjavík: Reykjavík University , 2022, p. 385-395Conference paper (Refereed)
    Abstract [en]

    The pandemic has forced teaching as well as as the Software Development industry, to be performed remotely. The educational institutions are therefore facing the situation of training and steering the students in, not only complex work, but also in remote-based work and it processes. Specific challenges here relate to project work with larger groups of developers, with testing, and integration of technical components for complete solutions, but the psychosocial factors come into play as well. This paper considers the situation that has arisen as a consequence of the pandemic and regards how project-based courses should be adapted to ‘The New Normal’. In focus is a course in Software Engineering, where a large-scaled project shall be developed remotely. Representatives from IT-companies act at the course remote, and at specific occurrences. The course is observed by the teachers to see its outcome, as well as different aspects on attitudes towards future remote work. Interviews and surveys regarding attitudes of students, as well as involved company representatives are presented, where the focus is on process, productivity, work environment, interest in remote work, as well as social aspects. The main findings, based on the surveys, motivates hybrid solutions for university courses, to meet the corresponding companies’ way of future working style.

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    Proceedings
  • 13.
    Sequeira, Movin
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design. Department of Industrial Engineering and Management, University of Gävle, Gävle, Sweden.
    A hybrid fuzzy-AHP-TOPSIS model for evaluation of manufacturing relocation decisions2023In: Operations Management Research, ISSN 1936-9735, E-ISSN 1936-9743, Vol. 16, p. 164-191Article in journal (Refereed)
    Abstract [en]

    Manufacturing relocation decisions are complex because they involve combinations of location modes like offshoring or reshoring, and governance modes like insourcing or outsourcing. Furthermore, the uncertainty involved in the decision-making process makes it challenging to reach a right-shoring decision. This study presents a hybrid fuzzy-AHP-TOPSIS model to support generic relocation decisions. Industry experts were involved in a pairwise comparison of the competitive priorities’ decision criteria. A meta-synthesis of empirical studies is used to generate theoretical relocation scenarios. The presented hybrid model is used to rank the relocation scenarios in order to identify the most pertinent alternative. The resiliency of the solution is presented through a sensitivity analysis. The results indicate that the proposed hybrid model can simultaneously handle all the main relocation options involving governance modes. Based on the input data in this study, the competitive priorities criteria quality, time and cost are shown to have a strong impact, whereas the sustainability criterion has a weak impact on the choice of relocation option. The research presented in this paper contributes to the research field of manufacturing relocation by demonstrating the suitability of the hybrid fuzzy-AHP-TOPSIS model for relocation decisions and the resilience of the results. Furthermore, the research contributes to practice by providing managers with a generic relocation decision-support model that is capable of simultaneously handling and evaluating various relocation alternatives.

  • 14.
    Sequeira, Movin
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management. Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    AHP-based support tools for initial screening of manufacturing reshoring decisions2021In: Journal of Global Operations and Strategic Sourcing, ISSN 2398-5364, E-ISSN 2398-5372, Vol. 14, no 3, p. 502-527Article in journal (Refereed)
    Abstract [en]

    Purpose

    The existing literature expresses a strong need to develop tools that support the manufacturing reshoring decision-making process. This paper aims to examine the suitability of analytical hierarchy process (AHP)-based tools for initial screening of manufacturing reshoring decisions.

    Design/methodology/approach

    Two AHP-based tools for the initial screening of manufacturing reshoring decisions are developed. The first tool is based on traditional AHP, while the second is based on fuzzy-AHP. Six high-level and holistic reshoring criteria based on competitive priorities were identified through a literature review. Next, a panel of experts from a Swedish manufacturing company was involved in the overall comparison of the criteria. Based on this comparison, priority weights of the criteria were obtained through a pairwise analysis. Subsequently, the priority weights were used in a weighted-sum manner to evaluate 20 reshoring scenarios. Afterwards, the outputs from the traditional AHP and fuzzy-AHP tools were compared to the opinions of the experts. Finally, a sensitivity analysis was performed to evaluate the stability of the developed decision support tools.

    Findings

    The research demonstrates that AHP-based support tools are suitable for the initial screening of manufacturing reshoring decisions. With regard to the presented set of criteria and reshoring scenarios, both traditional AHP and fuzzy-AHP are shown to be consistent with the experts' decisions. Moreover, fuzzy-AHP is shown to be marginally more reliable than traditional AHP. According to the sensitivity analysis, the order of importance of the six criteria is stable for high values of weights of cost and quality criteria.

    Research limitations/implications

    The limitation of the developed AHP-based tools is that they currently only include a limited number of high-level decision criteria. Therefore, future research should focus on adding low-level criteria to the tools using a multi-level architecture. The current research contributes to the body of literature on the manufacturing reshoring decision-making process by addressing decision-making issues in general and by demonstrating the suitability of two decision support tools applied to the manufacturing reshoring field in particular.

    Practical implications

    This research provides practitioners with two decision support tools for the initial screening of manufacturing reshoring decisions, which will help managers optimize their time and resources on the most promising reshoring alternatives. Given the complex nature of reshoring decisions, the results from the fuzzy-AHP are shown to be slightly closer to those of the experts than traditional AHP for initial screening of manufacturing relocation decisions.

    Originality/value

    This paper describes two decision support tools that can be applied for the initial screening of manufacturing reshoring decisions while considering six high-level and holistic criteria. Both support tools are applied to evaluate 20 identical manufacturing reshoring scenarios, allowing a comparison of their output. The sensitivity analysis demonstrates the relative importance of the reshoring criteria.

  • 15.
    Tan, He
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Johansson, Mats E.
    Saab AB, Jönköping, Sweden.
    Evaluation of an Application Ontology2017In: The Joint Ontology Workshops / [ed] Stefano Borgo, Oliver Kutz, Frank Loebe, Fabian Neuhaus, Kemo Adrian, Mihailo Antović, Valerio Basile, Martin Boeker, Diego Calvanese, Tommaso Caselli, Giorgio Colombo, Roberto Confalonieri, Laura Daniele, Jérôme Euzenat, Antony Galton, Dagmar Gromann, Maria M. Hedblom, Heinrich Herre, Inge Hinterwaldner, Andrea Janes, Ludger Jansen, Kris Krois, Antonio Lieto, Claudio Masolo, Rafael Peñaloza, Daniele Porello, Daniele P. Radicioni, Emilio M. Sanfilippo, Daniel Schober, Rossella Stufano, Amanda Vizedom, CEUR-WS , 2017, Vol. 2050Conference paper (Refereed)
    Abstract [en]

    The work presented in this paper demonstrates an evaluation procedure for a real-life application ontology, coming from the avionics domain. The focus of the evaluation has specifically been on three ontology quality features, namely usability, correctness and applicability. In the paper, the properties of the three features are explained in the context of the application domain, the methods and tools used for the evaluation of the features are presented, and the evaluation results are presented and discussed. The results indicate that the three quality features are significant in the evaluation of our application ontology, that the proposed methods and tools allow for the evaluation of the three quality features and that the inherent quality of the application ontology can be confirmed.

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    fulltext
  • 16.
    Tan, He
    et al.
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Ismail, Muhammad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Johansson, Mats
    Saab Avionics Systems, Jönköping.
    Development and evaluation of a software requirements ontology2016In: SKY 2016 - 7th International Workshop on Software Knowledge, Proceedings - In conjuction with IC3K 2016 / [ed] Iaakov Exman, Juan Llorens and Anabel Fraga, SciTePress, 2016, p. 11-18Conference paper (Refereed)
    Abstract [en]

    This paper presents an ontology which has been developed to represent the requirements of a software component pertaining to an embedded system in the avionics industry. The ontology was built based on the software requirements documents and was used to support advanced methods in the subsequent stages of the software development process. In this paper it is described theprocess that was used to build the ontology. Two pertinent quality measures that were applied to the ontology, i.e. usability and applicability, are also described, as well as the methods used to evaluate the quality measures and the result of these evaluations.

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    Fulltext
  • 17.
    Tan, He
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Resmini, Andrea
    Jönköping University, Jönköping International Business School, JIBS, Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Workplace innovation in Swedish local organizations - technology aspect: BIS 2015 International Workshops, Poznań, Poland, June 24-26, 2015, Revised Papers2015In: Business Information Systems Workshops / [ed] Witold Abramowicz, 2015, Vol. 228, p. 139-147Conference paper (Refereed)
    Abstract [en]

    Workplace innovation (WI) is important to provide betterwork opportunities and increase productivity. WI at the individual tasklevel concerns the structure of individual work tasks. A number of surveyshave been done that measured WI at the individual task level, howeverthey paid little attention to work environment, in particular to supportivetechnology. This paper presents the case study of WI in two Swedishorganisations with focus on the alignment of ICT and the individual worktasks. We carried out seven interviews of workers at dierent levels ofjob and in dierent sectors. The qualitative data analysis identied fourthemes: business processes, working roles, data sources, and technology.The analysis was facilitated by constructing BPMN (Business ProcessModel Notation) diagrams for the identied business processes. We discoveredthat the supportive technology in the organisations is adequatebut downright traditional. We argue that technology is an important factorand enabler for WI. Finally, we present an architectural model thatprovides a direction for future work on WI taking ICT as the basis.

  • 18.
    Tan, He
    et al.
    Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Lessons Learned from an Application of Ontologies in Software Testing2019In: CEUR Workshop Proceedings / [ed] Adrien Barton, Selja Seppälä, Daniele Porello, et.al., CEUR-WS , 2019, Vol. 2518Conference paper (Refereed)
    Abstract [en]

    Testing of a software system is a resource-consuming activity that requires high-level expert knowledge. In previous work we proposed an ontologybased approach to alleviate this problem. In this paper we discuss the lessons learned from the implementation and application of the approach in a use case from the avionic industry. The lessons are related to the areas of ontology development, ontology evaluation, the OWL language and rule-based reasoning.

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  • 19.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Tan, He
    Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Automation of software testing process using ontologies2019In: Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD / [ed] J. Dietz, D. Aveiro & J. Filipe, SciTePress, 2019, p. 57-66Conference paper (Refereed)
    Abstract [en]

    Testing of a software system is a resource-consuming activity that requires high-level expert knowledge. Methods based on knowledge representation and reasoning can alleviate this problem. This paper presents an approach to enhance the automation of the testing process using ontologies and inference rules. The approach takes software requirements specifications written in structured text documents as input and produces the output, i.e. test scripts. The approach makes use of ontologies to deal with the knowledge embodied in requirements specifications and to represent the desired structure of test cases, as well as makes use of a set of inference rules to represent strategies for deriving test cases. The implementation of the approach, in the context of an industrial case, proves the validity of the overall approach.

  • 20.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Ismail, Muhammad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Mats, Johansson
    Saab AB, Avisonics.
    Olsson, Daniel
    AddQ AB.
    Ontology-based Software Test Case Generation (OSTAG)2015In: European Projects in Knowledge Applications and Intelligent Systems - Volume 1: EPS Lisbon 2016 / [ed] R. J. Machado, J. Sequeira,H. Plácido da Silva, & J. Filipe, SciTePress, 2015, p. 135-159Conference paper (Refereed)
    Abstract [en]

    Testing is a paramount quality assurance activity in every software developmentproject, especially for embedded, safety critical systems. During thetest process, a lot of effort is put into the generation of test cases. The presentedOSTAG project aimed at developing methods and techniques to automate thesoftware test case generation for black-box testing. The proposed approach wasbased on the creation of a software requirements ontology and the applicationof inference rules on the ontology to derive test cases. The ontology representsknowledge of the requirements, the software system and the corresponding applicationdomain while the inference rules formalize knowledge from documentsand experienced testers in the domain of test planning and test case generation.A software prototype of the approach was implemented and one of the industrialproject partners evaluated the results. An alternative method for generating testcases, based on genetic algorithms, was also explored.

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  • 21.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Ismail, Muhammad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Johansson, Mats
    Saab AB.
    Application of inference rules to a software requirements ontology to generate software test cases2017In: OWL: Experiences and Directions – Reasoner Evaluation: 13th International Workshop, OWLED 2016, and 5th International Workshop, ORE 2016, Bologna, Italy, November 20, 2016, Revised Selected Papers / [ed] Dragoni, Mauro; Poveda-Villalón, María; Jimenez-Ruiz, Ernesto, Cham: Springer, 2017, p. 82-94Chapter in book (Refereed)
    Abstract [en]

    Testing of a software system is resource-consuming activity. One of the promising ways to improve the efficiency of the software testing process is to use ontologies for testing. This paper presents an approach to test case generation based on the use of an ontology and inference rules. The ontology represents requirements from a software requirements specification, and additional knowledge about components of the software system under development. The inference rules describe strategies for deriving test cases from the ontology. The inference rules are constructed based on the examination of the existing test documentation and acquisition of knowledge from experienced software testers. The inference rules are implemented in Prolog and applied to the ontology that is translated from OWL functional-style syntax to Prolog syntax. The first experiments with the implementation showed that it was possible to generate test cases with the same level of detail as the existing, manually produced, test cases.

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    Fulltext
  • 22. Tinney, Timothy
    et al.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Candell, Olov
    Safety & Security in eMaintenance: The need for integration2014In: The 3rd international workshop and congress on eMaintenance: eMaintenanceTrends in technologies & methodologies, challenges, possibilites and applications, Luleå University of Technology, 2014, p. -138Conference paper (Other academic)
    Abstract [en]

    With the advent of eMaintenance, there have been many newpossibilities and opportunities to increase the productivity ofindustrial systems, yet decrease resources and administrativecosts. To accomplish this though, it is often required to rely onsome network connectivity with the system of interest. It is thisnetwork connectivity capability that runs the risk of beinginterdicted, thereby providing a window of opportunity,commonly referred to as vulnerability, for a threat to exploit.This exploitation can occur in the form of a network securitythreat, information technology (IT) security threat, orinformation assurance and security threat. This in itself is notnecessarily new, but the applicability to eMaintenance is notwell understood. To gain a better understanding of thissignificance, there potentially needs to be a betterconceptualization of how to integrate safety and security at ananalytical level focused on the product or system designrequirements. To accomplish this, the first question that needsto be addressed is whether or not it is practical, or even useful,to pursue the idea of integrating safety and security for thesupport and protection of eMaintenance solutions? If the answerto this is yes, then what type of integration would berecommended? If the answer to the first question is no, thenwhy?There have been a number of comparisons and contrastsbetween safety and security over the last couple of decades. Inthe end though there still has not been a viable proposedconceptualization that can be utilized to integrate differentperspectives and practices in the safety and security domains.Today the most likely, although not the only, method to accountfor the integration of both domains is to conduct a safetyanalysis of a product or system of interest first and thenafterward, conduct a security analysis, or vice versa. Thismethod of development leaves much to be desired, and does notconsider the potential overlap of similarities between safety andsecurity. Nor does this method take into consideration that theinherent differences between the safety and security domainsare significant to the preservation of the original analyticalstrengths of both domains.Besides addressing the question of the practicality andusefulness of integrating safety and security, this paper will alsoaddress past research and noteworthy projects that havepreviously attempted this endeavour. Some general safety andsecurity aspects of eMaintenance will also be addressed.

  • 23.
    Tinney, Timothy
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering. SAAB Linköping.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Candell, Olov
    Safety and security in eMaintenance: The need for integration2015In: International Journal of COMADEM, ISSN 1363-7681, Vol. 18, no 2, p. 39-51Article in journal (Refereed)
    Abstract [en]

    eMaintenance provides many new possibilities and opportunities to increase the productivity of industrial systems, yet decrease resources and administrative costs. To accomplish this though, it is often required to rely on some network connectivity with the system of interest. It is this network connectivity capability that runs the risk of being interdicted, thereby providing a window of opportunity, commonly referred to as a vulnerability, for a threat to exploit. This in itself is not necessarily new, but the applicability to eMaintenance is not well understood. To this end, this article answers the question of whether or not the integration of safety and security is of value to the eMaintenance domain by first providing a number of comparisons and contrasts between safety and security. This article then also introduces a pragmatic way to integrate safety and security called the harmonized protection conceptualization, which helps to assist with visualizing and organizing safety and security measures relative to a product/system design. As such, this conceptualization is used to assist with the final conclusions as to whether or not the integration of safety and security is a viable and necessary consideration within the eMaintenance domain. Besides addressing the question of the practicality and usefulness of integrating safety and security, this article will also address past research and noteworthy projects that have previously attempted this endeavour. Some general safety and security aspects of eMaintenance will also be addressed.

1 - 23 of 23
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