Software Reliability Research: From Model to Test
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (15 March 2025) | Viewed by 1200
Special Issue Editor
Interests: green software, green IT; software and testware evolution; behavioral description of software and testware; computer simulation; virtual reality; information systems; web and cloud services; sustainability in software engineering; project management
Special Issue Information
Dear Colleagues,
Software reliability engineering (SRE) is an area of engineering that aims to design and implement an IT infrastructure that is reliable in operation, i.e., resilient to faults. Since the IT ecosystem may consist of different software, hardware, networks, and humans in different roles, SRE defines various complex research and development tasks. The process starts with domain analysis and modeling, and it ends with testing and measurement in the production environment. Modern systems might allow different kinds of mobility of their subsystems or components, respectively. This option opens the research question of the effectiveness of these model subsystems’ energy consumption or the question of effective energy consumption distribution across the whole ecosystem, respectively. In addition to this, research should be partially focused on using various artificial intelligence techniques to support these processes as well.
Through this Special Issue, we will reveal suitable reliability modeling, analysis, and testing techniques that adopt novel approaches from various areas of computer science and engineering. We would like to foster an open discussion on using predictive methods in SRE.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Artificial intelligence in various areas of SRE;
- Autonomous computing;
- Behavioral modeling of software/systems;
- Computer hardware reliability;
- CI and DevOps challenges for software reliability;
- Domain analysis and modeling;
- Fault-tolerant system architectures;
- Human–computer interaction vs. system reliability;
- Interaction design and modeling for human error minimization;
- Predictive models for reliability engineering;
- Reliability analysis of systems;
- Reliability in computer networks;
- Reliability modeling;
- Reliability testing;
- Requirements analysis for reliability;
- Software energy consumption and its prediction in terms of system reliability;
- Software evolution and maintenance;
- Software reliability testing;
- System measurement and profiling;
- Test automation.
I look forward to receiving your contributions.
Dr. Csaba Szabó
Guest Editor
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Keywords
- AI in reliability engineering
- energy consumption
- fault-tolerant systems
- interactive design for reliability
- reliability modeling
- reliability testing
- software reliability
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