Results 31 to 40 of about 123 (118)
Optimizing Testing‐Resource Allocation Using Architecture‐Based Software Reliability Model
Journal of Optimization, Volume 2018, Issue 1, 2018., 2018 In the management of software testing, testing‐recourse allocation is one of the most important problems due to the tradeoff between development cost and reliability of released software. This paper presents the model‐based approach to design the testing‐resource allocation.
Hiroyuki Okamura +2 more
wiley +1 more source
Efficient parameter estimation of software reliability growth models using harmony search
IET Software, Volume 11, Issue 6, Page 286-291, December 2017., 2017 The primary challenge of software reliability growth model is to find the unknown model parameters that are used to validate on software failure dataset. Though, numerical estimation technique plays a vital role in parameter estimation of software reliability growth models, they are not optimal as they suffer from constraints sucha as sample size ...
Ankur Choudhary +2 more
wiley +1 more source
Design and Development Framework of Safety‐Critical Software in HTR‐PM
Science and Technology of Nuclear Installations, Volume 2017, Issue 1, 2017., 2017 With the development of information technology, the instrumentation and control system of nuclear power plant nowadays rely heavily on the massive and complex software to ensure the safe and efficient operation of the power plant. The improvement of the software design and development for the safety systems has been a research focus for its decisive ...
Chao Guo +4 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2017, Issue 1, 2017., 2017 Reliability is one of the quantifiable software quality attributes. Software Reliability Growth Models (SRGMs) are used to assess the reliability achieved at different times of testing. Traditional time‐based SRGMs may not be accurate enough in all situations where test effort varies with time.
Subburaj Ramasamy +2 more
wiley +1 more source
Fuzzy analysis and prediction of commit activity in open source software projects
IET Software, Volume 10, Issue 5, Page 136-146, October 2016., 2016 Autoregressive integrated moving average (ARIMA) models are the most commonly used prediction models in the previous studies on software evolution prediction. This study explores a prediction method based on fuzzy time series for predicting the future commit activity in open source software (OSS) projects.
Munish Saini, Kuljit Kaur
wiley +1 more source
Monitoring Pareto Type IV SRGM using SPC [PDF]
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2013 The Reliability of the Software Process can be monitored efficiently using Statistical Process Control (SPC). SPC is the application of statistical techniques to control a process. SPC is a study of the best ways of describing and analyzing the data and then drawing conclusion or inferences based on available data.
Sridevi Gutta, Satya R Prasad
openaire +1 more source
Understanding Open Source Software Evolution Using Fuzzy Data Mining Algorithm for Time Series Data
Advances in Fuzzy Systems, Volume 2016, Issue 1, 2016., 2016 Source code management systems (such as Concurrent Versions System (CVS), Subversion, and git) record changes to code repositories of open source software projects. This study explores a fuzzy data mining algorithm for time series data to generate the association rules for evaluating the existing trend and regularity in the evolution of open source ...
Munish Saini +3 more
wiley +1 more source
Software Reliability Growth Model with Partial Differential Equation for Various Debugging Processes
Mathematical Problems in Engineering, Volume 2016, Issue 1, 2016., 2016 Most Software Reliability Growth Models (SRGMs) based on the Nonhomogeneous Poisson Process (NHPP) generally assume perfect or imperfect debugging. However, environmental factors introduce great uncertainty for SRGMs in the development and testing phase.
Jiajun Xu +2 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2016, Issue 1, 2016., 2016 Software reliability growth models (SRGMs) based on a nonhomogeneous Poisson process (NHPP) are widely used to describe the stochastic failure behavior and assess the reliability of software systems. For these models, the testing‐effort effect and the fault interdependency play significant roles.
Fan Li, Ze-Long Yi, Khaled Bahlali
wiley +1 more source
Comparison of mobile operating systems based on models of growth reliability of the software [PDF]
Компьютерные исследования и моделирование, 2018 Evaluation of software reliability is an important part of the process of developing modern software. Many studies are aimed at improving models for measuring and predicting the reliability of software products.
Giancarlo Succi, Vladimir V. Ivanov
doaj +1 more source