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 847

Special Issue Editor


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Guest Editor
Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letná 9, 042 00 Kosice, Slovakia
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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Published Papers (2 papers)

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Research

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20 pages, 3225 KiB  
Article
Evaluating GNSS Receiver Resilience: A Study on Simulation Environment Repeatability
by Aljaž Blatnik and Boštjan Batagelj
Electronics 2025, 14(9), 1797; https://doi.org/10.3390/electronics14091797 - 28 Apr 2025
Viewed by 95
Abstract
Global navigation satellite systems (GNSSs), with their ubiquitous coverage, have become a cornerstone of modern position, navigation, and timing (PNT) services. While their spread spectrum communication offers inherent, albeit partial, resilience against interference, GNSSs remain a prime target for malicious actors seeking to [...] Read more.
Global navigation satellite systems (GNSSs), with their ubiquitous coverage, have become a cornerstone of modern position, navigation, and timing (PNT) services. While their spread spectrum communication offers inherent, albeit partial, resilience against interference, GNSSs remain a prime target for malicious actors seeking to disrupt or degrade precise location and time synchronization. Jamming mitigation has been an active research area for over three decades. Despite diverse research efforts, a key weakness in the literature is the absence of rigorous, methodologically sound testing of proposed mitigation techniques in a controlled laboratory environment. This work addresses this deficiency by exploring the challenges of evaluating GNSS receiver performance and response under interference and by proposing a more robust methodological framework for result interpretation. We present a custom simulation environment that enables repeated, controlled measurements of GNSS receiver behavior under various jamming attacks, revealing discrepancies between expected performance and real-world observations. Using three low-cost receivers as a case study, we demonstrate the inherent uncertainty in the results, the unpredictable behavior of the receivers’ embedded software, and appropriate statistical analysis practices. A key contribution of this work is a publicly available dataset of extensive GNSS receiver response measurements acquired under controlled interference conditions using an advanced signal generation and a comprehensive satellite constellation simulator. Full article
(This article belongs to the Special Issue Software Reliability Research: From Model to Test)
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Review

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30 pages, 1041 KiB  
Review
Systematic Mapping Study of Test Generation for Microservices: Approaches, Challenges, and Impact on System Quality
by Tingshuo Miao, Asif Imtiaz Shaafi and Eunjee Song
Electronics 2025, 14(7), 1397; https://doi.org/10.3390/electronics14071397 - 30 Mar 2025
Viewed by 436
Abstract
Software development underwent a significant shift with the adoption of microservice architecture. Such architecture offers modularity and scalability but introduces new testing challenges. This review aims to identify, categorize, and analyze key testing methods used in microservices-based systems, emphasizing how these methods address [...] Read more.
Software development underwent a significant shift with the adoption of microservice architecture. Such architecture offers modularity and scalability but introduces new testing challenges. This review aims to identify, categorize, and analyze key testing methods used in microservices-based systems, emphasizing how these methods address architectural challenges and affect overall system quality. The distributed nature and asynchronous communication patterns of microservices architecture create a pressing need for robust and adaptive testing approaches. We systematically reviewed relevant papers, categorized approaches, and analyzed their strengths, limitations, and impact on system reliability. Our findings reveal that contract testing, behavior-driven development, and automated regression testing are widely practiced, yet there is a notable shortage of dedicated test generation tools designed specifically for microservices (i.e., the automated creation of test cases and test scripts tailored to verify microservices’ functionality and interactions). Additionally, this study underscores the necessity of specialized tools and advocates mock services as a solution for stabilizing complex inter-service dependencies. This study offers insights that advance both research and practice, ultimately improving microservices system reliability. Full article
(This article belongs to the Special Issue Software Reliability Research: From Model to Test)
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