Software maintenance is extremely important activity in software development life cycle. It involves a lot of human efforts, cost and time. Software maintenance may be further subdivided into different activities such as fault prediction, fault detection, fault prevention, fault correction etc. This topic has gained substantial attention due to sophisticated and complex applications, commercial...

Reliability of software counts on its fault-prone modules. This means that the less 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 software, it will be possible to judge the software reliability. In predicting software fault-prone modules, one of the contributing features is software metric by which one ...

Software fault prediction is one of the most fundamental but significant management techniques in software dependability assessment. In this paper we concern the software fault prediction using a multilayer-perceptron neural network, where the underlying software fault count data are transformed to the Gaussian data, by means of the well-known Box-Cox power transformation. More specially, we in...

Software fault prediction is important in software engineering field. Fault prediction helps engineers manage their efforts by identifying the most complex parts of the software where errors concentrate. Researchers usually study the faultproneness in modules because most modules have zero faults, and a minority have the most faults in a system. In this study, we present methods and models for ...

This paper studies multiple software fault distribution model, then extends the ideas of software fault estimation based on the analysis of a large number of project fault data. It presents the estimation model of software faults distribution for Web Application, which refers to the G-O model and Rayleigh model. This paper fits the fault prediction model and shows the steps to determine the rel...

The growing demand for higher operational effectiveness and reliability in industrial processes has resulted in a huge attention in fault detection techniques. Researcher and practitioners are remains concerned with correct prediction when developing systems. On the other hand the most popular research area is software fault or fault prediction. Software fault prediction has both security and f...

Software reliability is closely influenced by the creation, manifestation and impact of software faults. Consequently, software reliability can be improved by treating software faults properly, using techniques of fault tolerance, fault removal, and fault prediction. Fault tolerance techniques achieve the design for reliability, fault removal techniques achieve the testing for reliability, and ...

Software reliability is closely influenced by the creation, manifestation and impact of software faults. Consequently, software reliability can be improved by treating software faults properly, using techniques of fault tolerance, fault removal, and fault prediction. Fault tolerance techniques achieve the design for reliability, fault removal techniques achieve the testing for reliability, and ...

Original scientific paper The existing software fault prediction models require metrics and fault data belonging to previous software versions or similar software projects. However, there are cases when previous fault data are not present, such as a software company’s transition to a new project domain. In this kind of situations, supervised learning methods using fault labels cannot be applied...