A systematic review of machine learning techniques for software fault prediction

R Malhotra - Applied Soft Computing, 2015 - Elsevier
Background Software fault prediction is the process of developing models that can be used
by the software practitioners in the early phases of software development life cycle for …

[PDF][PDF] A systematic literature review of software defect prediction

RS Wahono - Journal of software engineering, 2015 - romisatriawahono.net
Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

Machine learning based methods for software fault prediction: A survey

SK Pandey, RB Mishra, AK Tripathi - Expert Systems with Applications, 2021 - Elsevier
Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …

Software fault prediction: A literature review and current trends

C Catal - Expert systems with applications, 2011 - Elsevier
Software engineering discipline contains several prediction approaches such as test effort
prediction, correction cost prediction, fault prediction, reusability prediction, security …

[HTML][HTML] Empirical study of software defect prediction: a systematic mapping

LH Son, N Pritam, M Khari, R Kumar, PTM Phuong… - Symmetry, 2019 - mdpi.com
Software defect prediction has been one of the key areas of exploration in the domain of
software quality. In this paper, we perform a systematic mapping to analyze all the software …

A learning-to-rank approach to software defect prediction

X Yang, K Tang, X Yao - IEEE Transactions on Reliability, 2014 - ieeexplore.ieee.org
Software defect prediction can help to allocate testing resources efficiently through ranking
software modules according to their defects. Existing software defect prediction models that …

The usage of ISBSG data fields in software effort estimation: A systematic mapping study

F González-Ladrón-de-Guevara… - Journal of Systems and …, 2016 - Elsevier
Abstract The International Software Benchmarking Standards Group (ISBSG) maintains a
repository of data about completed software projects. A common use of the ISBSG dataset is …

[PDF][PDF] A study on software metrics based software defect prediction using data mining and machine learning techniques

MC Prasad, L Florence, A Arya - International Journal of Database …, 2015 - academia.edu
Software quality is a field of study and practice that describes the desirable attributes of
software products. The performance must be perfect without any defects. Software quality …

A comparison framework of classification models for software defect prediction

RS Wahono, NS Herman… - Advanced Science Letters, 2014 - ingentaconnect.com
Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …

A taxonomy of data quality challenges in empirical software engineering

MF Bosu, SG MacDonell - 2013 22nd Australian Software …, 2013 - ieeexplore.ieee.org
Reliable empirical models such as those used in software effort estimation or defect
prediction are inherently dependent on the data from which they are built. As demands for …