Software defect prediction in automotive and telecom domain: A life-cycle approachShow others and affiliations
2015 (English)In: Software Technologies: 9th International Joint Conference, ICSOFT 2014, Vienna, Austria, August 29-31, 2014, Revised Selected Papers / [ed] Andreas Holzinger, Jorge Cardoso, José Cordeiro, Therese Libourel, Leszek A. Maciaszek, Marten van Sinderen, Cham: Springer, 2015, p. 217-232Chapter in book (Refereed)
Abstract [en]
Embedded software is playing an ever increasing role in providing functionality and user experience. At the same time, size and complexity of this software is also increasing which bring new challenges for ensuring quality and dependability. For developing high quality software with superior dependability characteristics requires an effective software development process with greater control. Methods of software defect predictions can help optimize the software verification and validation activities by providing useful information for test resource allocation and release planning decisions. We review the software development and testing process for two large companies from the automotive and telecom domain and map different defect prediction methods and their applicability to their lifecycle phases. Based on the overview and current trends we also identify possible directions for software defect prediction techniques and application in these domains. © Springer International Publishing Switzerland 2015.
Place, publisher, year, edition, pages
Cham: Springer, 2015. p. 217-232
Series
Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1865-0937 ; 555
Keywords [en]
Automotive, Defect prediction, Release readiness, Software life cycle, Telecom, Test resource allocation, Application programs, Defects, Forecasting, Life cycle, Resource allocation, Software engineering, Software testing, Verification, Software life cycles, Software design
National Category
Computer Systems Embedded Systems
Identifiers
URN: urn:nbn:se:his:diva-18806DOI: 10.1007/978-3-319-25579-8_13ISI: 000369296800013Scopus ID: 2-s2.0-84951128582ISBN: 978-3-319-25578-1 (print)ISBN: 978-3-319-25579-8 (electronic)OAI: oai:DiVA.org:his-18806DiVA, id: diva2:1452990
Conference
International Conference on Software Technologies
2020-07-082020-07-082020-07-08Bibliographically approved