Software Reliability: Status and Perspectives
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 7119
Special Issue Editors
Interests: software reliability; dependable computing; performance evaluation; computer security
Special Issues, Collections and Topics in MDPI journals
Interests: stochastic model; reliability and maintenance; performance evaluation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Software reliability has attracted an increasing amount of attention from the academic society and industrial communities in recent decades, especially against the background of the Industry 4.0 era, where software systems become more and more complex and are playing an increasingly important role in both the industrial world and our daily lives—for example, cyberphysical systems (CPS), Internet of Things (IoT) systems, real-time systems, and machine learning-based systems. The failures or requirement violations of these systems may lead to disruptive or even catastrophic consequences, such as significant economic damage or the loss of human lives. Therefore, it is essential to maintain software reliability in the face of faults and failures, and as a result, the topic of software reliability has been extensively studied in recent decades. Nevertheless, software reliability keeps posing challenging research questions due to the complexity, heterogeneity, and distributivity of software systems.
The Special Issue aims to concentrate contributions from academic and industrial communities addressing reliability issues of software applications, reviewing the status of software reliability and discussing advanced methods and tools for assessing, predicting, and enhancing the reliability of software systems.
Dr. Junjun Zheng
Prof. Dr. Tadashi Dohi
Prof. Dr. Hiroyuki Okamura
Guest Editors
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Keywords
- software reliability
- reliability assessment
- reliability prediction
- fault tolerance
- software testing, verification, and validation
- modeling and analysis
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