Role of packages in organization and maintenance of software systems has acquired vital importance in recent research of software quality. With an advancement in modularization approaches of object oriented software, packages are widely considered as re-usable and maintainable entities of objectoriented software architectures, specially to avoid complicated dependencies and insure software desi...

Context: Software metrics may be used in fault prediction models to improve software quality by predict-

Nowadays risk assessment is one of software engineering processes that plays important role in software development life cycle. Applying risk assessment to software the earlier is the better. Developers should detect defects of software early at design phase so the improvement action such as refactoring can be taken. Constructing fault prediction model using design metrics is one approach that ...

Experimental studies confirmed that only a small portion of software modules cause faults in software systems. Therefore, the majority of software modules are represented with non-faulty labels and the rest are marked with faulty labels during the modeling phase. These kinds of datasets are called imbalanced, and different performance metrics exist to evaluate the performance of proposed fault ...

Software fault prediction plays a vital role in software quality assurance, identifying the faulty modules to better concentrate on those modules and helps to improve the quality of the software. With increasing complexity of software now a day’s feature selection is important to remove the redundant, irrelevant and erroneous data from the dataset. In general, Feature selection is done mainly b...

The research on open source software has attracted a great deal of attention during the past decades for its wide applications in both academia and industry. Among the research topics related to open source software, the usefulness of software network metrics for fault prediction has been received much attention recently. In order to verify the importance of software network metrics in the perf...

Software faults could cause serious system errors and failures, leading to huge economic losses. But currently none of inspection and verification technique is able to find and eliminate all software faults. Software testing is an important way to inspect these faults and raise software reliability, but obviously it is a really expensive job. The estimation of a module’s fault-proneness is impo...

In software development, identifying faults is an important task. The presence of not only reduces the quality software, but also increases cost development life cycle. Fault identification can be performed by analysing characteristics buggy source codes from past and predict present ones based on same using statistical or machine learning models. Many studies have been conducted to fault prone...

Software bug repository is the main resource for fault prone modules. Different data mining algorithms are used to extract fault prone modules from these repositories. Software development team tries to increase the software quality by decreasing the number of defects as much as possible. In this paper different data mining techniques are discussed for identifying fault prone modules as well as...

Building efficient systems is one of the main challenges for software developers, who have been concerned with dependability-related issues as they built and deployed. Lots of changes often needs including the nature of faults and failures and the complexity of systems. Sometimes accepting minor errors always need efforts to eliminate faults that might cause them is in the core of dependability...