ICSE

Defect prediction has been a very active research area in software engineering [6--8, 11, 13, 16, 19, 20].

In 1971, Akiyama proposed one of the earliest defect prediction models using Lines of Code (LOC) [1]: "Defect = 4.86 + 0.018LOC."

Since then, many ...

In recent years there has been a huge growth in using statistical and machine learning methods to find useful prediction systems for software engineers. Of particular interest is predicting project effort and duration and defect behaviour. Unfortunately ...

Background: Reopened issues may cause problems in managing software maintenance effort. In order to take actions that will reduce the likelihood of issue reopening the possible causes of bug reopens should be analysed.

Aims: In this paper, we ...

Background: Most software effort estimation research focuses on methods that produce the most accurate models but very little focuses on methods of mapping those models to business needs.

Aim: In our experience, once a manager knows a software effort ...

Background: In most cases, bug resolution is a collaborative activity among developers in software development where each developer contributes his or her ideas on how to resolve the bug. Although only one developer is recorded as the actual fixer for ...

This study investigates to what extent Web effort estimation models built using cross-company data sets can provide suitable effort estimates for Web projects belonging to another company, when compared to Web effort estimates obtained using that ...

Background: During the previous decades there has been noted a significantly increased research interest on the construction of prediction models for accurate estimation of software cost. Despite the development of sophisticated methodologies, there is ...

Background: Web development plays an important role in today's industry, so an in depth view into Web resource estimation would be valuable. However a systematic review (SR) on Web resource estimation in its entirety has not been done.

Aim: The aim of ...

A large variety of methods has been proposed in the literature about Software Cost Estimation, in order to increase accuracy when predicting the effort of developing new projects. Estimation by Analogy is one of the most studied techniques in this area ...

Background: There has been a long debate in the software engineering literature concerning how useful cross-company (CC) data are for software effort estimation (SEE) in comparison to within-company (WC) data. Studies indicate that models trained on CC ...

Background: Software quality prediction plays an important role in improving the quality of software systems. By mining software metrics, predictive models can be induced that provide software managers with insights into quality problems they need to ...

Background: Size features such as lines of code and function points are deemed essential for effort estimation. No one questions under what conditions size features are actually a "must".

Aim: To question the need for size features and to propose a ...

Software project managers must schedule quality assurance activities. This is difficult because not enough information is available. Therefore, we developed and validated the quantitative model CoBe. It is based on detailed relationships and is ...

There are many hundreds of fault prediction models published in the literature. The predictive performance of these models is often reported using a variety of different measures. Most performance measures are not directly comparable. This lack of ...