Software fault localization is considered to be one of the most tedious procedures that involves larger amount of time during the debugging of program. With this, there arises an increasing desire for software fault localization to be practiced with minimum amount of human intervention. This resulted with the design of several methods, each of which provides means to address the issues related ...

Software fault prediction models play an important role in software quality assurance. They identify software subsystems (modules, components, classes, or files) which are likely to contain faults. These subsystems, in turn, receive additional resources for verification and validation activities. Fault prediction models are binary classifiers typically developed using one of the supervised lear...

Accurate prediction of fault prone modules in software development process enables effective discovery and identification of the defects. Specific models and algorithms referred to identify the fault proneness in a system. Such prediction models serve the large-scale systems, where verification experts need to focus on development process. The ability of software quality models to accurately id...

Software fault count and density prediction Dr. Bob Hughes, Franklyn Young-Martos, Alan Cunliffe Synopsis It has often been found that the majority of faults in a software application are caused by a small number of software components. Previous work on fault distribution has also tended to show that smaller modules often have larger fault densities than ones with more lines of code. Work carri...

Software testing is a time-consuming and expensive process. Software fault prediction models are used to identify fault-prone classes automatically before system testing. These models can reduce the testing duration, project risks, resource and infrastructure costs. In this study, we propose a novel fault prediction model to improve the testing process. Chidamber-Kemerer Object-Oriented metrics...

Software defect prediction in software engineering is one of the most interesting research fields. To improve the quality and reliability of the software in less time and in minimum cost, it is the most relevant key area where various researchers have been done. When the size and complexity of software increases then faults prediction in the software became more difficult. To maintain the high ...

Predicting faults early in the software life cycle can be used to improve software process control and achieve high software reliability. Quality of software is increasingly important and testing related issues are becoming crucial for software. Methodologies and techniques for predicting the testing effort, monitoring process costs, and measuring results can help in increasing efficiency of so...

Software verification and validation activities are essential for software quality but also constitute a large part of software development costs. Therefore efficient and costeffective software verification and validation activities are both a priority and a necessity considering the pressure to decrease time-to-market and intense competition faced by many, if not all, companies today. It is th...

The determination of the software release time for a new software product is the most critical issue for designing and controlling software development processes. This paper presents an innovative technique to predict the optimal software release time using a neural network. In our approach, a three-layer perceptron neural network with multiple outputs is used, where the underlying software fau...