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Adlemo, Anders
Publications (10 of 14) Show all publications
Hilletofth, P. & Adlemo, A. (2019). Automatic generation of fuzzy inference rules in a reshoring decision context. In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019: . Paper presented at 9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam. OSCM
Open this publication in new window or tab >>Automatic generation of fuzzy inference rules in a reshoring decision context
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper, Oral presentation with published abstract (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.

Place, publisher, year, edition, pages
OSCM: , 2019
Keywords
decision-support system, fuzzy inference rule generation, fuzzy logic inference system, membership function generation, reshoring.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-47163 (URN)
Conference
9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18Bibliographically approved
Tarasov, V., Tan, H. & Adlemo, A. (2019). Automation of software testing process using ontologies. In: J. Dietz, D. Aveiro & J. Filipe (Ed.), Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD: . Paper presented at 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, September 17-19, 2019, Vienna, Austria (pp. 57-66). SciTePress
Open this publication in new window or tab >>Automation of software testing process using ontologies
2019 (English)In: 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, Published 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.

Place, publisher, year, edition, pages
SciTePress, 2019
Keywords
Knowledge Representation, Ontologies, Inference Rules, Test Case Generation, Automated Testing
National Category
Computer Sciences Software Engineering
Identifiers
urn:nbn:se:hj:diva-46589 (URN)10.5220/0008054000570066 (DOI)2-s2.0-85074140225 (Scopus ID)978-989-758-382-7 (ISBN)
Conference
11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, September 17-19, 2019, Vienna, Austria
Available from: 2019-10-17 Created: 2019-10-17 Last updated: 2019-11-19Bibliographically approved
Tan, H., Tarasov, V. & Adlemo, A. (2019). Lessons Learned from an Application of Ontologies in Software Testing. In: Adrien Barton, Selja Seppälä, Daniele Porello, et.al. (Ed.), CEUR Workshop Proceedings: . Paper presented at JOWO 2019, The Joint Ontology Workshops, Graz, Austria, September 23-25, 2019.. CEUR-WS, 2518
Open this publication in new window or tab >>Lessons Learned from an Application of Ontologies in Software Testing
2019 (English)In: CEUR Workshop Proceedings / [ed] Adrien Barton, Selja Seppälä, Daniele Porello, et.al., CEUR-WS , 2019, Vol. 2518Conference paper, Published 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.

Place, publisher, year, edition, pages
CEUR-WS, 2019
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073
Keywords
application of ontologies, OWL, Prolog, lesson learned, test case generation, automated testing
National Category
Software Engineering
Identifiers
urn:nbn:se:hj:diva-47361 (URN)2-s2.0-85077693642 (Scopus ID)
Conference
JOWO 2019, The Joint Ontology Workshops, Graz, Austria, September 23-25, 2019.
Available from: 2020-01-13 Created: 2020-01-13 Last updated: 2020-01-29Bibliographically approved
Hilletofth, P., Sequeira, M. & Adlemo, A. (2019). Three novel fuzzy logic concepts applied to reshoring decision-making. Expert systems with applications, 126, 133-143
Open this publication in new window or tab >>Three novel fuzzy logic concepts applied to reshoring decision-making
2019 (English)In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 126, p. 133-143Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Decision-making, Fuzzy logic, High-level rule, Linguistic variable weight, Relative linguistic label, Reshoring, Computer circuits, Decision making, Fuzzy inference, Fuzzy rules, Linguistics, Fuzzy logic system, High-level rules, Interpretability, Linguistic labels, Linguistic variable
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-43403 (URN)10.1016/j.eswa.2019.02.018 (DOI)000464486100012 ()2-s2.0-85063033919 (Scopus ID)PP JTH 2019 embargo 24 (Local ID)PP JTH 2019 embargo 24 (Archive number)PP JTH 2019 embargo 24 (OAI)
Available from: 2019-04-01 Created: 2019-04-01 Last updated: 2020-05-05Bibliographically approved
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: 2019-08-21Bibliographically 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: 2019-08-21Bibliographically 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: 2019-08-21Bibliographically 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: 2019-08-22Bibliographically 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: 2019-08-21Bibliographically 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: 2019-08-21Bibliographically approved
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