Results 11 to 20 of about 131,864 (294)

A systematic review of software fault prediction studies

Expert Systems with Applications, 2009
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 prediction papers in 11 journals and several conference proceedings. According to the review results, the usage percentage of public datasets increased significantly and the ...
Catal, Cagatay, Diri, Banu
openaire   +5 more sources

Iterative software fault prediction with a hybrid approach

Applied Soft Computing, 2016
Display Omitted To make software fault prediction (SFP) more beneficial, it should be into service at the beginning of the project.A novel prediction methodology based on existing methods (i.e. FIS, ANN) are proposed here.Version based development of software projects are considered to design an iterative prediction approach.Proposed methodology is ...
Erturk, Ezgi, Sezer, Ebru Akcapinar
openaire   +4 more sources

Examining the Predictive Capability of Advanced Software Fault Prediction Models – An Experimental Investigation Using Combination Metrics [PDF]

e-Informatica Software Engineering Journal, 2022
Background: Fault prediction is a key problem in software engineering domain. In recent years, an increasing interest in exploiting machine learning techniques to make informed decisions to improve software quality based on available data has been ...
Pooja Sharma, Amrit Lal Sangal
doaj   +1 more source

Explaining software fault predictions to spreadsheet users

Journal of Systems and Software, 2022
A variety of automated software fault prediction techniques was proposed in recent years, in particular for the important class of spreadsheet programs. Software fault prediction techniques commonly create ranked lists of "suspicious'' program statements for developers to inspect.
Mukhtar, Adil, Hofer, Birgit, Jannach, Dietmar, Wotawa, Franz   +3 more
openaire   +1 more source

Evaluation of Classifiers in Software Fault-Proneness Prediction [PDF]

Journal of Artificial Intelligence and Data Mining, 2017
Reliability of software counts on its fault-prone modules. This means that the less software consists of fault-prone units the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of software, it will be possible ...
F. Karimian, S. M. Babamir
doaj   +1 more source

Cross-Project Defect Prediction: A Literature Review

IEEE Access, 2022
Background: Software defect prediction models aim at identifying the potential faulty modules of a software project based on historical data collected from previous versions of the same project.
Sourabh Pal, Alberto Sillitti
doaj   +1 more source

Multiple-classifiers in software quality engineering: Combining predictors to improve software fault prediction ability

Engineering Science and Technology, an International Journal, 2020
Software development projects require a critical and costly testing phase to investigate efficiency of the resultant product. As the size and complexity of project increases, manual prediction of software defects becomes a time consuming and costly task.
Fatih Yucalar, Akin Ozcift, Emin Borandag, Deniz Kilinc   +3 more
doaj   +1 more source

Applying Machine Learning to Software Fault Prediction [PDF]

e-Informatica Software Engineering Journal, 2018
Introduction: Software engineering continuously suffers from inadequate software testing. The automated prediction of possibly faulty fragments of source code allows developers to focus development efforts on fault-prone fragments first. Fault prediction
Bartłomiej Wójcicki, Robert Dąbrowski
doaj   +1 more source

Software Fault Prediction using Language Processing [PDF]

Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION (TAICPART-MUTATION 2007), 2007
Accurate prediction of faulty modules reduces the cost of software development and evolution. Two case studies with a language-processing based fault prediction measure are presented. The measure, refereed to as a QALP score, makes use of techniques from information retrieval to judge software quality.
BINKLEY D, FEILD H, LAWRIE D, PIGHIN, Maurizio   +3 more
openaire   +2 more sources

Software Fault Prediction Using an RNN-Based Deep Learning Approach and Ensemble Machine Learning Techniques

Applied Sciences, 2023
Alongside the modern software development life cycle approaches, software testing has gained more importance and has become an area researched actively within the software engineering discipline.
Emin Borandag
doaj   +1 more source