An approach for fault prediction in SOA-based systems using machine learning techniques

GP Bhandari, R Gupta, SK Upadhyay - Data Technologies and …, 2019 - emerald.com
Purpose Software fault prediction is an important concept that can be applied at an early
stage of the software life cycle. Effective prediction of faults may improve the reliability and …

Fault prediction in SOA-based systems using deep learning techniques

GP Bhandari, R Gupta - … Journal of Web Services Research (IJWSR), 2020 - igi-global.com
Abstract Fault prediction in Service Oriented Architecture (SOA) based systems is one of the
important tasks to minimize the computation cost and time of the software system …

An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes

L Kumar, S Misra, SK Rath - Computer standards & interfaces, 2017 - Elsevier
Software fault prediction models are used to predict faulty modules at the very early stage of
software development life cycle. Predicting fault proneness using source code metrics is an …

A decision tree regression based approach for the number of software faults prediction

SS Rathore, S Kumar - ACM SIGSOFT Software Engineering Notes, 2016 - dl.acm.org
Software fault prediction is an important activity to make software quality assurance (SQA)
process more efficient, economic and targeted. Most of earlier works related to software fault …

[图书][B] Software fault prediction: a road map

S Kumar, SS Rathore - 2018 - Springer
Software quality assurance (SQA) is a vital and foremost important task to build robust
software and to ensure that the developed software meets the standardized quality …

Software fault prediction using machine-learning techniques

D Sharma, P Chandra - Smart Computing and Informatics: Proceedings of …, 2018 - Springer
Abstract Machine-learning techniques are used to find the defect, fault, ambiguity, and bad
smell to accomplish quality, maintainability, and reusability in software. Software fault …

A systematic review of software fault prediction studies

C Catal, B Diri - Expert systems with applications, 2009 - Elsevier
This paper provides a systematic review of previous software fault prediction studies with a
specific focus on metrics, methods, and datasets. The review uses 74 software fault …

[PDF][PDF] Software Fault Prediction: A Systematic Mapping Study.

J Murillo-Morera, C Quesada-López, M Jenkins - CIbSE, 2015 - eventos.spc.org.pe
Context: Software fault prediction has been an important research topic in the software
engineering field for more than 30 years. Software defect prediction models are commonly …

Design an Improved Model of Software Defect Prediction Model for Web Applications

A Arya, SK Malik - 2023 International Conference on Artificial …, 2023 - ieeexplore.ieee.org
In the software industry, web applications are crucial and are frequently updated to comply
with standards or to include new capabilities. However, even while testing ensures quality …

Applying machine learning to software fault-proneness prediction

I Gondra - Journal of Systems and Software, 2008 - Elsevier
The importance of software testing to quality assurance cannot be overemphasized. The
estimation of a module's fault-proneness is important for minimizing cost and improving the …