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Cost-Benefit Analysis of Using Dependency Knowledge at Integration Testing
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8724-9049
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1597-6738
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1512-0844
SICS, Sweden.ORCID iD: 0000-0002-0921-0878
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2016 (English)In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, Vol. 10027, 268-284 p.Conference paper, Published paper (Refereed)
Abstract [en]

In software system development, testing can take considerable time and resources, and there are numerous examples in the literature of how to improve the testing process. In particular, methods for selection and prioritization of test cases can play a critical role in efficient use of testing resources. This paper focuses on the problem of selection and ordering of integration-level test cases. Integration testing is performed to evaluate the correctness of several units in composition. Further, for reasons of both effectiveness and safety, many embedded systems are still tested manually. To this end, we propose a process, supported by an online decision support system, for ordering and selection of test cases based on the test result of previously executed test cases. To analyze the economic efficiency of such a system, a customized return on investment (ROI) metric tailored for system integration testing is introduced. Using data collected from the development process of a large-scale safety-critical embedded system, we perform Monte Carlo simulations to evaluate the expected ROI of three variants of the proposed new process. The results show that our proposed decision support system is beneficial in terms of ROI at system integration testing and thus qualifies as an important element in improving the integration testing process.

Place, publisher, year, edition, pages
2016. Vol. 10027, 268-284 p.
Keyword [en]
Process improvement, Software testing, Decision support system, Integration testing, Test case selection, Prioritization, Optimization, Return on investment
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-32887DOI: 10.1007/978-3-319-49094-6_17Scopus ID: 2-s2.0-84998880972OAI: oai:DiVA.org:mdh-32887DiVA: diva2:956169
Conference
THE 17TH INTERNATIONAL CONFERENCE ON PRODUCT-FOCUSED SOFTWARE PROCESS IMPROVEMENT PROFES'16, 22-24 Nov 2016, TRONDHEIM, Norway
Projects
ITS-EASY Post Graduate School for Embedded Software and SystemsTOCSYC - Testing of Critical System Characteristics (KKS)IMPRINT - Innovative Model-Based Product Integration Testing (Vinnova)
Available from: 2016-08-29 Created: 2016-08-24 Last updated: 2016-12-15Bibliographically approved
In thesis
1. A Decision Support System for Integration Test Selection
Open this publication in new window or tab >>A Decision Support System for Integration Test Selection
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Software testing generally suffers from time and budget limitations. Indiscriminately executing all available test cases leads to sub-optimal exploitation of testing resources. Selecting too few test cases for execution on the other hand might leave a large number of faults undiscovered. Test case selection and prioritization techniques can lead to more efficient usage of testing resources and also early detection of faults. Test case selection addresses the problem of selecting a subset of an existing set of test cases, typically by discarding test cases that do not add any value in improving the quality of the software under test. Test case prioritization schedules test cases for execution in an order to increase their effectiveness at achieving some performance goals such as: earlier fault detection, optimal allocation of testing resources and reducing overall testing effort. In practice, prioritized selection of test cases requires the evaluation of different test case criteria, and therefore, this problem can be formulated as a multi-criteria decision making problem. As the number of decision criteria grows, application of a systematic decision making solution becomes a necessity. In this thesis, we propose a tool-supported framework using a decision support system, for prioritizing and selecting integration test cases in embedded system development. The framework provides a complete loop for selecting the best candidate test case for execution based on a finite set of criteria. The results of multiple case studies, done on a train control management subsystem from Bombardier Transportation AB in Sweden, demonstrate how our approach helps to select test cases in a systematic way. This can lead to early detection of faults while respecting various criteria. Also, we have evaluated a customized return on investment metric to quantify the economic benefits in optimizing system integration testing using our framework.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2016
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 242
National Category
Computer Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-33118 (URN)978-91-7485-282-0 (ISBN)
Presentation
2016-10-25, Omega, Mälardalens högskola, Västerås, 13:15 (English)
Opponent
Supervisors
Available from: 2016-09-12 Created: 2016-09-09 Last updated: 2016-10-04Bibliographically approved

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