Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
Practical software metrics for project management and process improvement
Practical software metrics for project management and process improvement
Orthogonal Defect Classification-A Concept for In-Process Measurements
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Safeware: system safety and computers
Safeware: system safety and computers
Software reliability and dependability: a roadmap
Proceedings of the Conference on The Future of Software Engineering
Evaluating Software Development Objectively
IEEE Software
Defect-Based Reliability Analysis for Mission-Critical Software
COMPSAC '00 24th International Computer Software and Applications Conference
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
The Repeatability of Code Defect Classifications
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Empirical Analysis of Safety-Critical Anomalies During Operations
IEEE Transactions on Software Engineering
Basic Concepts and Taxonomy of Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
Revisiting the problem of using problem reports for quality assessment
Proceedings of the 2006 international workshop on Software quality
On the Value of Static Analysis for Fault Detection in Software
IEEE Transactions on Software Engineering
Results and experiences from an empirical study of fault reports in industrial projects
PROFES'06 Proceedings of the 7th international conference on Product-Focused Software Process Improvement
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Improving software processes relies on the ability to analyze previous projects and derive which parts of the process that should be focused on for improvement. All software projects encounter software faults during development and have to put much effort into locating and fixing these. A lot of information is produced when handling faults, through fault reports. This paper reports a study of fault reports from industrial projects, where we seek a better understanding of faults that have been reported during development and how this may affect the quality of the system. We investigated the fault profiles of five business-critical industrial projects by data mining to explore if there were significant trends in the way faults appear in these systems. We wanted to see if any types of faults dominate, and whether some types of faults were reported as being more severe than others. Our findings show that one specific fault type is generally dominant across reports from all projects, and that some fault types are rated as more severe than others. From this we could propose that the organization studied should increase effort in the design phase in order to improve software quality.