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Functional Dependency Detection for Integration Test Cases
Research Institutes of Sweden - RISE SICS, Västerås AB, Sweden.
Royal Institute of Technology (KTH), Stockholm, Sweden.
Royal Institute of Technology (KTH), Stockholm, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0611-2655
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2018 (English)In: Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 207-214Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a natural language processing (NLP) based approach that, given software requirements specification, allows the functional dependency detection between integration test cases. We analyze a set of internal signals to the implemented modules for detecting dependencies between requirements and thereby identifying dependencies between test cases such that: module 2 depends on module 1 if an output internal signal from module 1 enters as an input internal signal to the module 2. Consequently, all requirements (and thereby test cases) for module 2 are dependent on all the designed requirements (and test cases) for module 1. The dependency information between requirements (and thus corresponding test cases) can be utilized for test case prioritization and scheduling. We have implemented our approach as a tool and the feasibility is evaluated through an industrial use case in the railway domain at Bombardier Transportation (BT), Sweden.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018. p. 207-214
Keywords [en]
Dependency, Internal Signals, NLP, Optimization, Software Requirement, Software Testing, C (programming language), Computer software selection and evaluation, Integral equations, Natural language processing systems, Requirements engineering, Software reliability, Testing, Bombardier Transportation, Dependency informations, Functional dependency, Software requirements, Software requirements specifications, Test case prioritization
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-40742DOI: 10.1109/QRS-C.2018.00047ISI: 000449555600034Scopus ID: 2-s2.0-85052305334ISBN: 9781538678398 (print)OAI: oai:DiVA.org:mdh-40742DiVA, id: diva2:1246533
Conference
18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018, 16 July 2018 through 20 July 2018
Available from: 2018-09-07 Created: 2018-09-07 Last updated: 2019-02-15Bibliographically approved
In thesis
1. Multi-Criteria Optimization of System Integration Testing
Open this publication in new window or tab >>Multi-Criteria Optimization of System Integration Testing
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Optimizing software testing process has received much attention over the last few decades. Test optimization is typically seen as a multi-criteria decision making problem. One aspect of test optimization involves test selection, prioritization and execution scheduling. Having an efficient test process can result in the satisfaction of many objectives such as cost and time minimization. It can also lead to on-time delivery and a better quality of the final software product. To achieve the goal of test efficiency, a set of criteria, having an impact on the test cases, need to be identified. The analysis of several industrial case studies and also state of the art in this thesis, indicate that the dependency between integration test cases is one such criterion, with a direct impact on the test execution results. Other criteria of interest include requirement coverage and test execution time. In this doctoral thesis, we introduce, apply and evaluate a set of approaches and tools for test execution optimization at industrial integration testing level in embedded software development. Furthermore, ESPRET (Estimation and Prediction of Execution Time) and sOrTES (Stochastic Optimizing of Test Case Scheduling) are our proposed supportive tools for predicting the execution time and the scheduling of manual integration test cases, respectively. All proposed methods and tools in this thesis, have been evaluated at industrial testing projects at Bombardier Transportation (BT) in Sweden. As a result of the scientific contributions made in this doctoral thesis, employing the proposed approaches has led to an improvement in terms of reducing redundant test execution failures of up to 40% with respect to the current test execution approach at BT. Moreover, an increase in the requirements coverage of up to 9.6% is observed at BT. In summary, the application of the proposed approaches in this doctoral thesis has shown to give considerable gains by optimizing test schedules in system integration testing of embedded software development.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2018
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 281
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-41273 (URN)978-91-7485-414-5 (ISBN)
Public defence
2018-12-21, Lambda, Mälardalens högskola, Västerås, 13:15 (English)
Opponent
Supervisors
Available from: 2018-11-02 Created: 2018-11-01 Last updated: 2018-11-20Bibliographically approved

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Afzal, Wasif

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