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Authors: Rakesh Rana 1 ; Miroslaw Staron 1 ; Jörgen Hansson 1 and Martin Nilsson 2

Affiliations: 1 Chalmers and University of Gothenburg, Sweden ; 2 Volvo Car Group, Sweden

Keyword(s): Defect Prediction, Software Life Cycle, Automotive Software, Test Resource Allocation, Release Readiness.

Related Ontology Subjects/Areas/Topics: Enterprise Software Technologies ; Service-Oriented Software Engineering and Management ; Software Engineering ; Software Engineering Methods and Techniques ; Software Integration ; Software Quality Management ; Software Testing and Maintenance

Abstract: 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 in service performance of software based systems will provide useful feedback to software development teams and allow them to develop more robust and user friendly systems.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Rana, R.; Staron, M.; Hansson, J. and Nilsson, M. (2014). Defect Prediction over Software Life Cycle in Automotive Domain - State of the Art and Road Map for Future. In Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT 2014) - ICSOFT-EA; ISBN 978-989-758-036-9, SciTePress, pages 377-382. DOI: 10.5220/0005099203770382

@conference{icsoft-ea14,
author={Rakesh Rana. and Miroslaw Staron. and Jörgen Hansson. and Martin Nilsson.},
title={Defect Prediction over Software Life Cycle in Automotive Domain - State of the Art and Road Map for Future},
booktitle={Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT 2014) - ICSOFT-EA},
year={2014},
pages={377-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005099203770382},
isbn={978-989-758-036-9},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT 2014) - ICSOFT-EA
TI - Defect Prediction over Software Life Cycle in Automotive Domain - State of the Art and Road Map for Future
SN - 978-989-758-036-9
AU - Rana, R.
AU - Staron, M.
AU - Hansson, J.
AU - Nilsson, M.
PY - 2014
SP - 377
EP - 382
DO - 10.5220/0005099203770382
PB - SciTePress

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