Results 21 to 30 of about 84 (78)

A SOFTWARE RELIABILITY ESTIMATION METHOD TO NUCLEAR SAFETY SOFTWARE

open access: yesNuclear Engineering and Technology, 2014
A method for estimating software reliability for nuclear safety software is proposed in this paper. This method is based on the software reliability growth model (SRGM), where the behavior of software failure is assumed to follow a non-homogeneous ...
GEE-YONG PARK, SEUNG CHEOL JANG
doaj   +1 more source

Utilizing Multi-Objective Evolutionary Algorithms to Optimize Open Source Software Release Management

open access: yesIEEE Access, 2023
Scheduling and resource allocation for Open Source Software (OSS) product development pose crucial and challenging tasks due to program size and resource limitations.
Chen-Yang Yu, Chin-Yu Huang
doaj   +1 more source

Reliability analysis of safety‐critical and control systems: a state‐of‐the‐art review

open access: yesIET 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

open access: yesJournal 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

open access: yesIET 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

Modeling Mechanism and Review of Imperfect Debugging Reliability Model Related to the Total Number of Faults in Software [PDF]

open access: yesJisuanji kexue
In the reliability research,the total number of software faults is crucial for allocating testing resources,assessing reliability changes,and determining optimal release times.However,there has been limited research from the perspective of total faults ...
ZHANG Ce, SUN Zhichao, JI Kexing, WANG Jinyong, WANG Yubin
doaj   +1 more source

Design and Development Framework of Safety‐Critical Software in HTR‐PM

open access: yesScience 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

Machine Learning Approach for Software Reliability Growth Modeling with Infinite Testing Effort Function

open access: yesMathematical 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

open access: yesIET 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

open access: yesAdvances 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

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