Software faults prediction is an emerging research area in the software engineering. It is an important issue for IT industry and professionals. We need prior information of an application for faults or faulty modules in traditional approach to determine ...

A common practice in computer science courses is to evaluate student-written test suites against either a set of manually-seeded faults (handwritten by an instructor) or against all other student-written implementations (“all-pairs” grading). However, ...

Refactoring, which aims to improve the internal structure of the software systems preserving their behavior, is the most common payment strategy for technical debt (TD) by removing the code smells. There exist many studies presenting code smell ...

Refactoring, which aims to improve the internal structure of the software systems preserving their behavior, is the most common payment strategy for TD by removing code smells. In this study, we examine the distribution of 29 refactoring types among the ...

Hardware and software faults increasingly surface in today's computing environment and vast theoretical and practical research efforts are devoted to ameliorate the effects of malfunctionality in the computing process. Most research to date, however, ...

Hardware and software faults increasingly surface in today's computing environment and vast theoretical and practical research efforts are being devoted to overcoming the effects of malfunctionality in the computing process. Most research to date, ...

This paper presents emergent experimental results showing that mental effort of programmers in code understanding tasks can be monitored through HRV (heart rate variability) using non-intrusive wearable devices. Results suggest that HRV is a good ...

Background: Ensemble techniques have gained attention in various scientific fields. Defect prediction researchers have investigated many state-of-the-art ensemble models and concluded that in many cases these outperform standard single classifier ...

Software static analysis is one of many options for finding bugs in software. Like compilers, static analyzers take a program as input. This paper covers tools that examine source code -- without executing it -- and output bug reports. Static analysis ...

Software static analysis is one of many options for finding bugs in software. Like compilers, static analyzers take a program as input. This paper covers tools that examine source codewithout executing itand output bug reports. Static analysis is a ...

Failure Prediction allows improving the dependability of computer systems, but its use is still uncommon due to scarcity of failure-related data that can be used for training, assessing and comparing alternative failure predictors. As failures are rare ...

Many papers have been published on analysis and prediction of software faults and/or failures, but few addressed the software fixes made to correct the faults and prevent failures from reoccurring. This paper contributes towards filling this gap by ...

As software becomes more pervasive and complex, it's increasingly important to ensure that a system will be safe even in the presence of residual software faults (or bugs). Software fault injection consists of the deliberate introduction of software ...

This paper develops and validates a methodology to detect small, incipient faults in software systems. Incipient faults such as memory leaks slowly deteriorate the software's performance over time and if left undetected, the end result is usually a ...

Developing a software with high quality is a challenge that is continuously evolving. There are several methods to evaluate the quality in developed software products. In this paper, we evaluated the correlation between two software quality tools: ...

Micro patterns are similar to design patterns, but are at a lower level of abstraction, closer to the implementation. Anti patterns are micro patterns not respecting the prescriptions of good Object Oriented programming practices. In this paper, we use ...

Background: Several studies have examined code churn as a variable for predicting faults in large software systems. High churn is usually associated with more faults appearing in code that has been changed frequently.

Aims: We investigate the extent to ...

Software fault tolerance can itself be dangerous error-prone because of the additional effort that must be included in the programming process. The paper is based upon research in the area of testing software fault tolerance techniques. A Framework to ...

Scrum methodology has originated from agile software develop-ment as an elixir to software projects which are behind the sche-dule or which are highly likely to have a problematic development phase. Also unlike any other agile methodology, scrum is ...

Predicting failures at runtime is one of the most promising techniques to increase the availability of computer systems. However, failure prediction algorithms are still far from providing satisfactory results. In particular, the identification of the ...

Background: Previous research has provided evidence that a combination of static code metrics and software history metrics can be used to predict with surprising success which files in the next release of a large system will have the largest numbers of ...