Results 241 to 250 of about 155,165 (287)

Software Defect Prediction via Transformer

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2020
In order to enhance software reliability, software defect prediction is used to predict potential defects and to improve efficiency of software examination. Traditional defect prediction methods mainly focus on design static code metrics, and building machine learning classifiers to predict pieces of code that potentially defective.
Qihang Zhang, Bin Wu
openaire   +1 more source

Defect prediction for embedded software

2007 22nd international symposium on computer and information sciences, 2007
As ubiquitous computing becomes the reality of our lives, the demand for high quality embedded software in shortened intervals increases. In order to cope with this pressure, software developers seek new approaches to manage the development cycle: to finish on time, within budget and with no defects.
Atac Deniz Oral, Ayse Basar Bener
openaire   +1 more source

Mobile Application Software Defect Prediction

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE), 2016
The increasing number of user of mobile application, it is needed to check mobile applications that contains defect or not. I proposed a SVM method in comparison with CART and Test Metrics to classify classes in application. It shows that SVM method has better result in terms of precision and accuracy.
Michael Yoseph Ricky, Fredy Purnomo, Budi Yulianto   +2 more
openaire   +1 more source

Predicting Defectiveness of Software Patches

Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2016
Context: Software code review, as an engineering best practice, refers to the inspection of the code change in order to find possible defects and ensure change quality. Code reviews, however, may not guarantee finding the defects. Thus, there is a risk for a defective code change in a given patch, to pass the review process and be submitted.Goal: In ...
Behjat Soltanifar, Atakan Erdem, Ayse Bener   +2 more
openaire   +1 more source

Predicting Defect of Software System

2017
Any particular study on software quality with all desirable attributes of software products can be treated as complete and perfect provided it is defective. Defects continue to be an emerging problem that leads to failure and unexpected behaviour of the system.
Soumi Ghosh, Ajay Rana, Vineet Kansal
openaire   +1 more source

Software defect prediction using software metrics - A survey

2013 International Conference on Information Communication and Embedded Systems (ICICES), 2013
Traditionally software metrics have been used to define the complexity of the program, to estimate programming time. Extensive research has also been carried out to predict the number of defects in a module using software metrics. If the metric values are to be used in mathematical equations designed to represent a model of the software process ...
K. Punitha, S. Chitra
openaire   +1 more source

Deep learning based software defect prediction

Neurocomputing, 2020
Abstract Software systems have become larger and more complex than ever. Such characteristics make it very challengeable to prevent software defects. Therefore, automatically predicting the number of defects in software modules is necessary and may help developers efficiently to allocate limited resources.
Lei Qiao, Xuesong Li, Qasim Umer, Ping Guo   +3 more
openaire   +1 more source

Naive Bayes Software Defect Prediction Model

2010 International Conference on Computational Intelligence and Software Engineering, 2010
Although the value of using static code attributes to learn defect predictor has been widely debated, there is no doubt that software defect predictions can effectively improve software quality and testing efficiency. Many data mining methods have already been introduced into defect predictions.
Tao Wang, Wei-hua Li
openaire   +1 more source

Defect prediction and software risk

Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014
Defect prediction has always fascinated researchers and practitioners. The promise of being able to predict the future and act to improve it is hard to resist. However, the operational data used in predictions are treacherous and the prediction is usually done outside the context of the actual development project, making it impossible to employ it for ...
openaire   +1 more source

Software Defect Prediction using Hybrid Approach

2019 International Conference on Advanced Information Technologies (ICAIT), 2019
Defective software modules have significant impact over software quality leading to system crashes and software running error. Thus, Software Defect Prediction (SDP) mechanisms become essential part to enhance quality assurance activities, to allocate effort and resources more efficiently.
Myo Wai Thant, Nyein Thwet Thwet Aung
openaire   +1 more source