Paper Info
Title
Defect prediction over software life cycle in automotive domain state of the art and road map for future
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.
Year
Venue
Keywords
2014
2014 9th International Conference on Software Engineering and Applications (ICSOFT-EA)
Defect Prediction,Software Life Cycle,Automotive Software,Test Resource Allocation,Release Readiness
Field
DocType
Citations 
Personal software process,Systems engineering,Software engineering,Package development process,Computer science,Software system,Automotive software,Software construction,Software verification and validation,Software sizing,Software development
Conference
2
PageRank 
References 
Authors
0.40
12
4
Name
Order
Citations
PageRank
Rakesh Rana1285.93
Miroslaw Staron248652.25
jorgen hansson342135.04
Martin Nilsson4153.07