Inheritance metrics feats in unsupervised learning to classify unlabeled datasets and clusters in fault prediction [PDF]
PeerJ Computer Science, 2021 Fault prediction is a necessity to deliver high-quality software. The absence of training data and mechanism to labeling a cluster faulty or fault-free is a topic of concern in software fault prediction (SFP).
Syed Rashid Aziz +2 more
doaj +2 more sources
Cost curve evaluation of fault prediction models [PDF]
, 2008 Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consensus on the methodology to select the “best model” for the specific project.
Bojan Cukic, Tim Menzies, Yue Jiang
core +1 more source
Efficacy of Inheritance Aspect in Software Fault Prediction—A Survey Paper
IEEE Access, 2020 Software fault prediction (SFP) is a research area that helps development and testing process deliver software of good quality. Software metrics are of various types and are used in SFP for measurements. Inheritance is a prominent feature, which measures
Syed Rashid Aziz +2 more
doaj +1 more source
Predicting software faults in large space systems using machine learning techniques [PDF]
, 2011 Recently, the use of machine learning (ML) algorithms has proven to be of great practical value in solving a variety of engineering problems including the prediction of failure, fault, and defect-proneness as the space system software becomes complex ...
Twala, Bhekisipho
core +2 more sources
An Empirical Study on Dependence Clusters for Effort-Aware Fault-Proneness Prediction [PDF]
, 2016 A dependence cluster is a set of mutually inter-dependent program elements. Prior studies have found that large dependence clusters are prevalent in software systems.
Binkley, D +6 more
core +1 more source
Domain-specific implications of error-type metrics in risk-based software fault prediction
Software quality journalKhoa Phung +2 more
openalex +2 more sources
Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm [PDF]
Journal of Universal Computer ScienceFault prediction of multimedia software is necessary to develop good quality multimedia software because integrating various multimedia heterogeneous components in a software system usually generates many faults.
Manpreet Singh, Jitender Kumar Chhabra
doaj +3 more sources
A fuzzy logic expert system to predict module fault proneness using unlabeled data
Journal of King Saud University: Computer and Information Sciences, 2020 Several techniques have been proposed to predict the fault proneness of software modules in the absence of fault data. However, the application of these techniques requires an expert assistant and is based on fixed thresholds and rules, which potentially
Golnoush Abaei +2 more
doaj +1 more source
Software Fault Estimation Framework based on aiNet [PDF]
International Journal of Computational Intelligence Systems, 2014 Software fault prediction techniques are helpful in developing dependable software. In this paper, we proposed a novel framework that integrates testing and prediction process for unit testing prediction.
Qian Yin, Ruiyi Luo, Ping Guo
doaj +1 more source
A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction
Kuwait Journal of Science, 2023 Software testing is a very important part of the software development life cycle to develop reliable and bug-free software but it consumes a lot of resources like development time, cost, and effort.
Manpreet Singh, Jitender Kumar Chhabra
doaj +1 more source