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Bug fixing is one of the most important activities in software development and maintenance. Bugs are reported, recorded, and managed in bug tracking systems such as Bugzilla. In general, a bug report contains many fields, such as product, component, severity, priority, fixer, operating system (OS), and platform, which provide important information for the bug triaging and fixing process. Our previous...
Software Analytics is gaining momentum as aresult of involved empirical research in enhancing quality andproductivity of software engineering activities. There have beenrigorous research efforts in the areas of bug prediction and testingeffort prediction by making use of historical data. The problemof predicting bug fix times is an interesting problem with lotsof advantages to industry but there have...
A software bug repository not only contains the data about software bugs, but also contains the information about the contribution of developers, quality engineers (testers), managers and other team members. It contains the information about the efforts of team members involved in resolving the software bugs. This information can be analyzed to identify some useful knowledge patterns. One such pattern...
A critical item of a bug report is the so-called "severity", i.e. the impact the bug has on the successful execution of the software system. Consequently, tool support for the person reporting the bug in the form of a recommender or verification system is desirable. In previous work we made a first step towards such a tool: we demonstrated that text mining can predict the severity of a given...
In this paper, we explore the viability of mining the basic data provided in bug repositories to predict bug lifetimes. We follow the method of Lucas D. Panjer as described in his paper, Predicting Eclipse Bug Lifetimes. However, in place of Eclipse data, the FreeBSD bug repository is used. We compare the predictive accuracy of five different classification algorithms applied to the two data sets...
An important challenge in finding latent errors in software is to find predicates which have the most effect on program failure. Since predicates have mutual effects on each other, it is not a good solution to analyze them in isolation, without considering the simultaneous effects of other predicates on failure. The aim is to detect those predicates which are best bug predictors and meanwhile have...
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