[PDF][PDF] Software defect prediction using machine learning algorithms: Current state of the art

R Ponnala, CRK Reddy - Solid State Technology, 2021 - researchgate.net
One of the essential exploratory fields in the software quality field is software defect
prediction. Software engineering involves many ways to predict software quality assurance …

Software defects estimation using metrics of early phases of software development life cycle

C Kumar, DK Yadav - … Journal of System Assurance Engineering and …, 2017 - Springer
An estimation of software defects can be obtained in the later phase of software testing.
However, with the aim of cost-effectiveness and timely management of resources, the …

An empirical study on software defect prediction with a simplified metric set

P He, B Li, X Liu, J Chen, Y Ma - Information and Software Technology, 2015 - Elsevier
Context Software defect prediction plays a crucial role in estimating the most defect-prone
components of software, and a large number of studies have pursued improving prediction …

Software defect prediction: an ML approach-based comprehensive study

K Anand, AK Jena - … , Software and Networks: Proceedings of INDIA 2022, 2022 - Springer
Software testing is a vital phase in the software development life cycle. Testing validates a
developed software against the input test cases by identifying the defects present in the …

[PDF][PDF] How good is the software: a review of defect prediction techniques

B Clark, D Zubrow - Software Engineering Symposium …, 2001 - resources.sei.cmu.edu
How Good Is the Software: A Review of Defect Prediction Techniques Page 1 Sponsored by the
US Department of Defense © 2001 by Carnegie Mellon University Version 1.0 A Review of …

Software defect prediction using static code metrics: Formulating a methodology

DPH Gray - 2013 - uhra.herts.ac.uk
Software defect prediction is motivated by the huge costs incurred as a result of software
failures. In an effort to reduce these costs, researchers have been utilising software metrics …

Researcher bias: The use of machine learning in software defect prediction

M Shepperd, D Bowes, T Hall - IEEE Transactions on Software …, 2014 - ieeexplore.ieee.org
Background. The ability to predict defect-prone software components would be valuable.
Consequently, there have been many empirical studies to evaluate the performance of …

[PDF][PDF] Software defect prediction: A study on software metrics using statistical and machine learning methods

M Canaparo, E Ronchieri, G Bertaccini - Proceedings of Science, 2022 - inspirehep.net
1. Background Software defects might be the cause of several problems during software
maintenance or development, they could lead to major damage and important loss of …

Software reliability: development of software defect prediction models using advanced techniques

M Jagtap, P Katragadda… - 2022 Annual Reliability …, 2022 - ieeexplore.ieee.org
Development of next generation of smarter machines and services requires building an easy-
to-use technology stack. These technologies include hardware, embedded software, data …

[图书][B] Using error modeling to improve and control software quality: An empirical investigation

GS Walia - 2009 - search.proquest.com
Software quality, or the lack thereof, is a well-known problem faced by software engineers.
To address the problem of poor software quality, many approaches have been developed …