Abstract
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.
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Børretzen, J.A., Dyre-Hansen, J. (2007). Investigating the Software Fault Profile of Industrial Projects to Determine Process Improvement Areas: An Empirical Study. In: Abrahamsson, P., Baddoo, N., Margaria, T., Messnarz, R. (eds) Software Process Improvement. EuroSPI 2007. Lecture Notes in Computer Science, vol 4764. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75381-0_19
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DOI: https://doi.org/10.1007/978-3-540-75381-0_19
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