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Tarasov, V., Tan, H., Jarfors, A. E. .. & Seifeddine, S. (2019). Fuzzy logic-based modelling of yield strength of as-cast A356 alloy. Neural computing & applications (Print)
Open this publication in new window or tab >>Fuzzy logic-based modelling of yield strength of as-cast A356 alloy
2019 (English)In: Neural computing & applications (Print), ISSN 0941-0643, E-ISSN 1433-3058Article in journal (Refereed) Epub ahead of print
Abstract [en]

Uncertain and imprecise data are inherent to many domains, e.g. casting lightweight components. Fuzzy logic offers a way to handle such data, which makes it possible to create predictive models even with small and imprecise data sets. Modelling of cast components under fatigue load leads to understanding of material behaviour on component level. Such understanding is important for the design for minimum warranty risk and maximum weight reduction of lightweight cast components. This paper contributes with a fuzzy logic-based approach to model fatigue-related mechanical properties of as-cast components, which has not been fully addressed by the current research. Two fuzzy logic models are constructed to map yield strength to the chemical composition and the rate of solidification of castings for two A356 alloys. Artificial neural networks are created for the same data sets and then compared to the fuzzy logic approach. The comparison shows that although the neural networks yield similar prediction accuracy, they are less suitable for the domain because they are opaque models. The prediction errors exhibited by the fuzzy logic models are 3.53% for the model and 3.19% for the second, which is the same error level as reported in related work. An examination of prediction errors indicated that these are affected by parameters of the membership functions of the fuzzy logic model.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Fuzzy logic; Membership functions; Artificial neural networks; Prediction accuracy; Mechanical properties prediction; A356 alloy; Cast components
National Category
Materials Engineering Computer Engineering
Identifiers
urn:nbn:se:hj:diva-42912 (URN)10.1007/s00521-019-04056-5 (DOI)XYZ ()
Funder
Knowledge Foundation, 20170066
Available from: 2019-02-08 Created: 2019-02-08 Last updated: 2019-02-08
Adlemo, A., Hilletofth, P. & Tarasov, V. (2018). Fuzzy logic based decision-support for reshoring decisions. In: Proceedings of the 8th International Conference on Operations and Supply Chain Management: . Paper presented at International Conference on Operations and Supply Chain Management (OSCM), 9 – 12 September, 2018, Cranfield, UK.
Open this publication in new window or tab >>Fuzzy logic based decision-support for reshoring decisions
2018 (English)In: Proceedings of the 8th International Conference on Operations and Supply Chain Management, 2018Conference paper, Published paper (Refereed)
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-41436 (URN)
Conference
International Conference on Operations and Supply Chain Management (OSCM), 9 – 12 September, 2018, Cranfield, UK
Available from: 2018-09-14 Created: 2018-09-14 Last updated: 2019-02-13Bibliographically approved
Adlemo, A., Tarasov, V., Hilletofth, P. & Eriksson, D. (2018). Knowledge intensive decision support for reshoring decisions. In: Proceedings of the 30th Annual NOFOMA Conference: Relevant Logistics and Supply Chain Management Research. Paper presented at Proceedings of the 30th NOFOMA Conference, Kolding, Denmark, 13-15 June, 2018. Kolding
Open this publication in new window or tab >>Knowledge intensive decision support for reshoring decisions
2018 (English)In: Proceedings of the 30th Annual NOFOMA Conference: Relevant Logistics and Supply Chain Management Research, Kolding, 2018Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Kolding: , 2018
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-41018 (URN)978-87-91070-93-8 (ISBN)
Conference
Proceedings of the 30th NOFOMA Conference, Kolding, Denmark, 13-15 June, 2018
Available from: 2018-07-19 Created: 2018-07-19 Last updated: 2019-02-13Bibliographically approved
Adlemo, A., Tarasov, V., Hilletofth, P. & Eriksson, D. (2018). Reshoring decision support in a Swedish context. In: : . Paper presented at 25th International Annual EurOMA Conference, June 24-26th, 2018 Budapest, Hungary.
Open this publication in new window or tab >>Reshoring decision support in a Swedish context
2018 (English)Conference paper, Published 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.

Keywords
Decision-Support Systems, Fuzzy Logic Systems, Reshoring
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-41036 (URN)
Conference
25th International Annual EurOMA Conference, June 24-26th, 2018 Budapest, Hungary
Available from: 2018-07-23 Created: 2018-07-23 Last updated: 2019-02-14Bibliographically approved
Adlemo, A., Tan, H. & Tarasov, V. (2018). Test case quality as perceived in Sweden. In: Michael Unterkalmsteiner (Ed.), Proceedings - International Conference on Software Engineering: . Paper presented at 2018 ACM/IEEE 5th International Workshop on Requirements Engineering and Testing, Gothenburg, Sweden, June 02, 2018 (pp. 9-12). ACM Digital Library
Open this publication in new window or tab >>Test case quality as perceived in Sweden
2018 (English)In: Proceedings - International Conference on Software Engineering / [ed] Michael Unterkalmsteiner, ACM Digital Library, 2018, p. 9-12Conference paper, Published 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.

Place, publisher, year, edition, pages
ACM Digital Library, 2018
Series
Proceedings - International Conference on Software Engineering, ISSN 0270-5257
Keywords
good software test cases, quality criteria, requirement-driven development, test-driven development
National Category
Computer Systems
Identifiers
urn:nbn:se:hj:diva-41033 (URN)10.1145/3195538.3195541 (DOI)2-s2.0-85051230713 (Scopus ID)978-1-4503-5749-4 (ISBN)
Conference
2018 ACM/IEEE 5th International Workshop on Requirements Engineering and Testing, Gothenburg, Sweden, June 02, 2018
Projects
Ontology-based software test case generation
Funder
Knowledge Foundation, 20140170
Available from: 2018-07-22 Created: 2018-07-22 Last updated: 2019-02-07Bibliographically approved
Tarasov, V., Tan, H., Ismail, M., Adlemo, A. & Johansson, M. (2017). Application of inference rules to a software requirements ontology to generate software test cases. In: Dragoni, Mauro; Poveda-Villalón, María; Jimenez-Ruiz, Ernesto (Ed.), 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 (pp. 82-94). Cham: Springer
Open this publication in new window or tab >>Application of inference rules to a software requirements ontology to generate software test cases
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2017 (English)In: 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.

Place, publisher, year, edition, pages
Cham: Springer, 2017
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10161
Keywords
Inference Rules, Ontology, OWL, Prolog, Requirement Specification, Test Case Generation
National Category
Computer Sciences Software Engineering
Identifiers
urn:nbn:se:hj:diva-35164 (URN)10.1007/978-3-319-54627-8_7 (DOI)000426195800007 ()2-s2.0-85014455857 (Scopus ID)978-3-319-54627-8 (ISBN)
Projects
Ontology-based Software Test Case Generation (OSTAG)
Funder
Knowledge Foundation, 20140170
Available from: 2017-03-07 Created: 2017-03-07 Last updated: 2019-02-07Bibliographically approved
Tan, H., Adlemo, A., Tarasov, V. & Johansson, M. E. (2017). Evaluation of an Application Ontology. In: 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 (Ed.), The Joint Ontology Workshops: . Paper presented at Proceedings of the Joint Ontology Workshops 2017 Episode 3: The Tyrolean Autumn of Ontology Bozen-Bolzano, Italy, September 21–23, 2017. CEUR-WS, 2050
Open this publication in new window or tab >>Evaluation of an Application Ontology
2017 (English)In: 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, Published 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.

Place, publisher, year, edition, pages
CEUR-WS, 2017
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 2050
Keywords
application ontologies, ontology evaluation, ontology quality features, ontology verbalization
National Category
Computer Systems
Identifiers
urn:nbn:se:hj:diva-38902 (URN)2-s2.0-85045576954 (Scopus ID)
Conference
Proceedings of the Joint Ontology Workshops 2017 Episode 3: The Tyrolean Autumn of Ontology Bozen-Bolzano, Italy, September 21–23, 2017
Available from: 2018-02-23 Created: 2018-02-23 Last updated: 2019-02-07Bibliographically approved
Tan, H., Ismail, M., Tarasov, V., Adlemo, A. & Johansson, M. (2016). Development and evaluation of a software requirements ontology. In: Iaakov Exman, Juan Llorens and Anabel Fraga (Ed.), SKY 2016 - 7th International Workshop on Software Knowledge, Proceedings - In conjuction with IC3K 2016: . Paper presented at 7th International Workshop on Software Knowledge - SKY 2016 in conjunction with the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - IC3K 2016, November 9-10, 2016, in Porto, Portugal (pp. 11-18). SciTePress
Open this publication in new window or tab >>Development and evaluation of a software requirements ontology
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2016 (English)In: 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, Published 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.

Place, publisher, year, edition, pages
SciTePress, 2016
Keywords
Ontology, Software Requirements, Ontology Development, Ontology Evaluation, Avionics Software Development
National Category
Computer Systems
Identifiers
urn:nbn:se:hj:diva-32277 (URN)10.5220/0006079300110018 (DOI)000393154100001 ()2-s2.0-85007006434 (Scopus ID)978-989-758-202-8 (ISBN)
Conference
7th International Workshop on Software Knowledge - SKY 2016 in conjunction with the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - IC3K 2016, November 9-10, 2016, in Porto, Portugal
Projects
Ontology-based Software Test Case Generation (OSTAG)
Funder
Knowledge Foundation, KKS-20140170
Available from: 2016-11-16 Created: 2016-11-16 Last updated: 2019-02-07Bibliographically approved
Resmini, A., Tan, H., Tarasov, V. & Adlemo, A. (2016). #ViewFromTheOffice - Reconceptualizing the Workplace as an Information-based Ecosystem. In: Proceedings of the 6th STS Conference on Socio-technical Ecosystems: . Paper presented at 6th STS Conference on Socio-technical Ecosystems.
Open this publication in new window or tab >>#ViewFromTheOffice - Reconceptualizing the Workplace as an Information-based Ecosystem
2016 (English)In: Proceedings of the 6th STS Conference on Socio-technical Ecosystems, 2016Conference paper, Published paper (Refereed)
Keywords
user experience, workplace, cross-channel, information architecture
National Category
Interaction Technologies
Identifiers
urn:nbn:se:hj:diva-34312 (URN)
Conference
6th STS Conference on Socio-technical Ecosystems
Available from: 2016-12-14 Created: 2016-12-14 Last updated: 2019-02-07
Lantow, B., Sandkuhl, K. & Tarasov, V. (2015). Ontology Reuse Engineering and Ontology Development. In: Ana Fred, Jan Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe (Ed.), KEOD 2015 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 2, Lisbon, Portugal, November 12-14, 2015: . Paper presented at International Conference on Knowledge Engineering and Ontology Development, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 2, Lisbon, Portugal, November 12-14, 2015 (pp. 163-170). SciTePress
Open this publication in new window or tab >>Ontology Reuse Engineering and Ontology Development
2015 (English)In: KEOD 2015 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 2, Lisbon, Portugal, November 12-14, 2015 / [ed] Ana Fred, Jan Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe, SciTePress, 2015, p. 163-170Conference paper, Published paper (Refereed)
Abstract [en]

While the main purpose of Ontology Design Patterns (ODPs) is to support the process of ontology engineering, they can also be used to improve existing ontologies. This paper has a focus on ODP selection and integration for ontology improvement. Based on the case of the ExpertFinder ontology, which allows for competency description of researchers, selection and integration of ODP is investigated with an explorative view. The current state of ODP selection strategies is discussed and problems arising during integration of ODP are shown. On this base, suggestions for improvements are made. Although this study deals with the integration into an existing ontology, most of the assumptions and suggestions are also valid for the general case of ODP usage.

Place, publisher, year, edition, pages
SciTePress, 2015
Keywords
Ontology Design Pattern (ODP), Ontology Alignment, ODP Selection, ODP Integration, Ontology Engineering, Ontology Reuse
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hj:diva-28599 (URN)10.5220/0005586301630170 (DOI)978-989-758-158-8 (ISBN)
Conference
International Conference on Knowledge Engineering and Ontology Development, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 2, Lisbon, Portugal, November 12-14, 2015
Available from: 2015-12-11 Created: 2015-12-11 Last updated: 2018-09-12Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-6671-6157

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