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Defect Prediction o...
Defect Prediction over Software Life Cycle in Automotive Domain - State of the Art and Road Map for Future
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- Rana, Rakesh, 1985 (author)
- Göteborgs universitet,University of Gothenburg
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- Staron, Miroslaw, 1977 (author)
- Göteborgs universitet,University of Gothenburg
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- Hansson, Jörgen, 1970 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Nilsson, Martin, 1970 (author)
- Volvo Cars
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(creator_code:org_t)
- SCITEPRESS - Science and and Technology Publications, 2014
- 2014
- English.
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In: ICSOFT-EA 2014 - Proceedings of the 9th International Conference on Software Engineering and Applications. - : SCITEPRESS - Science and and Technology Publications. ; , s. 377-382
- Related links:
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https://doi.org/10.5...
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Abstract
Subject headings
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- Software today provides an important and vital role in providing the functionality and user experience in automotive domain. With ever increasing size and complexity of software together with high demands on quality and dependability, managing software development process effectively is an important challenge. Methods of software defect predictions provide useful information for optimal resource allocation and release planning; they also help track and model software and system reliability. In this paper we present an overview of defect prediction methods and their applicability in different software lifecycle phases in the automotive domain. Based on the overview and current trends we identify that close monitoring of inservice performance of software based systems will provide useful feedback to software development teams and allow them to develop more robust and user friendly systems.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- Defects
- Software reliability
- Life cycle
- Forecasting
- Application programs
- Software testing
- Resource allocation
Publication and Content Type
- kon (subject category)
- ref (subject category)
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