نتایج جستجو برای: software fault prediction
تعداد نتایج: 732854 فیلتر نتایج به سال:
Incremental Development and Cost-based Evaluation of Software Fault Prediction Models
This report documents the program and the outcomes of Dagstuhl Seminar 13061 “Fault Prediction, Localization, and Repair”. Software debugging, which involves localizing, understanding, and removing the cause of a failure, is a notoriously difficult, extremely time consuming, and human-intensive activity. For this reason, researchers have invested a great deal of effort in developing automated t...
Software fault prediction model are employed to optimize testing resource allocation by identifying fault-prone classes before testing phases. Several researchers’ have validated the use of different classification techniques to develop predictive models for fault prediction. The performance of the statistical models are proven to be influenced by the training and testing dataset. Ensemble meth...
This report documents the program and the outcomes of Dagstuhl Seminar 13061 “Fault Prediction, Localization, and Repair”. Software debugging, which involves localizing, understanding, and removing the cause of a failure, is a notoriously difficult, extremely time consuming, and human-intensive activity. For this reason, researchers have invested a great deal of effort in developing automated t...
It would be valuable to use metrics to identify the fault-proneness of software modules. However, few research works are on how to select appropriate metrics for fault-proneness prediction currently. We conduct a large-scale comparative experiment of nine different software metrics reduction methods over eleven public-domain data sets from the NASA metrics data repository. The Naive Bayes data ...
With the evolution of information technology and software systems, software reliability has become one of the most important topics of software engineering. As the dependency of society on software systems increase, so increases also the importance of efficient software fault prediction. In this paper we present a new approach to improving the classification of faulty software modules. The prop...
Reliability of a software counts on its fault-prone modules. This means that the less the software consists of fault-prone units, the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of a software, it will be possible to judge its reliability. In predicting the software fault-prone modules, one of the contributing features is software metric, by which...
With the ever-increasing significance of software in our everyday lives, it is vital to afford reliable software quality estimates. Typically, quantitative software quality analyses rely on either statistical fault prediction methods (FPMs) or stochastic software reliability growth models (SRGMs). Adopting solely FPMs or SRGMs, though, may result in biased predictions that do not account for un...
A program’s bug, fault, or mistake that results in unintended is known as a software defect fault. Software flaws are programming errors due to mistakes the requirements, architecture, source code. Finding and fixing bugs soon they arise crucial goal of development can be achieved various ways. So, selecting handful optimal subsets features from any dataset prime approach. Indirectly, classific...
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