International Conference «Mathematical and Informational Technologies, MIT-2013»
(X Conference «Computational and Informational Technologies for Science,
Engineering and Education»)

Vrnjacka Banja, Serbia, September, 5–8, 2013

Budva, Montenegro, September, 9-14, 2013

Lazic L.   Djokic I.   Milinkovic S.  

The software defects fixing problem optimization using Taguchi method

Reporter: Lazic L.

Software defect repair time is an important factor in software development, and estimates of repair times are essential in planning, scheduling, and resource allocation in software projects. Although the number of defects is a factor of repair time, the relationship is not necessarily linear. Several simple defects may require much less repair time than one complicated defect. Repair time also depends on the experience and skills of the fixer, his or her workload, and other factors. Predicting defect repair time is a difficult problem that has not been researched as intensively as reliability modeling. This paper aims to use defect data from previous software development efforts to address two major issues in testing management: modeling repair time and assessing testing quality. In this paper, we describe the when-who-how approach for analyzing defect data to gain a better understanding of the quality control process and identify defect fixing problem improvement opportunities using Taguchi’s Design of Experiments method and SRM (Surface Response Method). We used Analysis of Variance (ANOVA) to correlate problem resolution cycle time with three predictors, problem severity, problem complexity and engineer experience to find parametric equation for total software defect resolution time related to mentioned three predictors.

Full text file: Lazic L.doc

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