Forthcoming articles

International Journal of Software Engineering, Technology and Applications

International Journal of Software Engineering, Technology and Applications (IJSETA)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Software Engineering, Technology and Applications (2 papers in press)

Regular Issues

  • An Efficient Rejuvenation Policy to Cope with Software Aging Phenomenon   Order a copy of this article
    by Amir Akhavan Bitaraf, Moona Yakhchi, Hakem Beitollahi, Mahdi Fazeli 
    Abstract: Software aging is a well-known challenge in most software systems that lead to serious performance degradation or frequent failures in these systems. Several proactive rejuvenation techniques have been proposed to tackle software aging and prevent failures. Rejuvenation techniques are mostly categorized into two main classes: Time-based techniques and failure prediction based techniques. This article proposes a new method for software rejuvenation that follows a new policy for determining the time of rejuvenation. Our new policy includes two parts: 1) Considering a set of rejuvenation time points based on a static analysis of system behavior in the presence of software aging effect; 2) Dynamically changing the scheduling points based on a dynamic analysis of system workload. In fact, our policy employs a straightforward time-based technique as a base-line and then dynamically changes the selected points based on predicting the lowest workload time. In comparison to the second category of rejuvenation techniques, our policy predicts the occurrence time of the lowest workload instead of occurrence of failure time. Our new strategy effectively and dynamically changes the static points of a time-based policy. Simulation results in comparison to other well-known time-based rejuvenation techniques indicate the system availability improves between 0.3% to 7.3%. Moreover, our technique significantly reduces the overall rejuvenation cost (up to 71%).
    Keywords: Software Aging; Software Rejuvenation.

  • A Robust Software Reliability Growth Model for Accurate Detection of Software Failures   Order a copy of this article
    by Jagadeesh Medapati, Anand Chandulal Jasti, Rajinikanth TV 
    Abstract: This paper pinpoints to detect and eliminate the actual software failures efficiently. The approach fits in a particular case of Generalized Gamma Mixture Model (GGMM), namely exponential distribution. The approach estimates two parameters using the Maximum Likelihood Estimate (MLE). Standard Evaluation metrics like Mean Square Error (MSE), Coefficient of Determination (R2), Sum of Squares (SSE), and Root Means Square Error (RMSE) were calculated. For the justification of the model selection and goodness of fit various model selection frameworks like Chi-Square Goodness of Fit, Walds Test, Akaike Information Criteria (AIC), AICc and Schwarz criterion (SBC) were also estimated. The experimentation was carried out on five benchmark datasets which interpret the considered novel technique identifies the actual failures on par with the existing models. This paper presents a robust software reliability growth model which is more effectual in the identification of the failures. This helps the present software organizations in the release of bug-free software just in time.
    Keywords: Software Reliability; Error; Reviews; Generalized Gamma Mixture Model; Benchmark Datasets.