Results 31 to 40 of about 233 (109)
IEEE Access, 2021 Most traditional software reliability growth models (SRGMs) assume immediate fault correction upon detection and therefore only consider fault detection process (FDP).
Kaiye Gao
doaj +1 more source
Optimal Release Time Estimation of Software System using Box-Cox Transformation and Neural Network [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2018 The determination of the software release time for a new software product is the most critical issue for designing and controlling software development processes.
Momotaz Begum, Tadashi Dohi
doaj +1 more source
Heterogeneous redundancy in software quality prediction using a hybrid Bayesian approach [PDF]
, 2007 With the ever-increasing significance of software in our everyday lives, it is vital to afford reliable software quality estimates. Typically, quantitative software quality analyses rely on either statistical fault prediction methods (FPMs) or stochastic
Hanselmann, G., Sarishvili, A.
core +2 more sources
Reliability analysis of safety‐critical and control systems: a state‐of‐the‐art review
IET Software, Volume 12, Issue 1, Page 1-18, February 2018., 2018 In the past several decades, significant attention has been devoted to the quality assessment of safety‐critical (SC) and control systems from many perspectives such as its reliability, safety, and performance. Researchers are continuing to put their efforts to ensure these dependability attributes.
Vinay Kumar +2 more
wiley +1 more source
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
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