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Publication Index: ScopusSubject: Testing

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    Article
    Cryptographic Randomness Testing of Block Ciphers: SAC Tests
    (IEEE-Inst Electrical Electronics Engineers Inc, 2026) Aslan, Melis; Doganaksoy, Ali; Kocaman, Sermin; Saygi, Zulfukar; Sulak, Fatih
    Block ciphers are designed to function as random mappings, making it essential for them to successfully pass statistical randomness tests. These tests evaluate whether the distribution of a test statistic, derived empirically through various data manipulations over states of the algorithm, aligns with the theoretical distribution for cryptographic randomness. Beyond this, evaluating the cryptographic properties of the algorithm is also important to ensure its security and reliability. One of the important cryptographic randomness properties is the Strict Avalanche Criterion (SAC), which assesses the impact of a one-bit alteration in the input over the output. In this work, we introduce new SAC-based tests to offer more reliable evaluation for the cryptographic randomness of block cipher algorithms. The tests are utilized for the application of AES, PRESENT, and CLEFIA block ciphers. The results are compared with Soto's evaluation methods, which are known for their comprehensive approach to block ciphers. According to this, it is apparent that our novel SAC tests improve upon Soto's results, thus providing a more comprehensive understanding of randomness.
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    Article
    Nonparametric Tests for Comparing Reliabilities of Coherent Systems at Specific Mission Time
    (IEEE-Inst Electrical Electronics Engineers Inc, 2026) Xu, Xuan; Zhu, Xiaojun; Balakrishnan, Narayanaswamy; Ng, Hon Keung Tony
    Reliability analysis of coherent systems is critical for evaluating the performance of systems whose functionality depends on the reliability of their components. Traditional parametric methods for comparing reliabilities of coherent systems assume a specific probability distribution for component lifetimes, which may result in inaccurate results when these model assumptions are violated. This article introduces nonparametric procedures using system-level data with known signatures to compare the reliabilities of systems. The proposed methodology avoids parametric distributional assumptions for component lifetimes while relying on the standard assumption in signature-based reliability analysis. Specifically, a two-sample likelihood ratio test procedure is proposed to demonstrate a component or system with superior reliability. Monte Carlo simulations are performed to evaluate the performance of the proposed methods. Furthermore, we examine the effect of system structure on test power and determine favourable structures to enhance the power performance of the test. Practical examples are used to illustrate the proposed test procedures.
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    Review
    Citation - WoS: 60
    Citation - Scopus: 79
    Web Application Testing: a Systematic Literature Review
    (Elsevier Science inc, 2014) Dogan, Serdar; Betin-Can, Aysu; Garousi, Vahid
    Context: The web has had a significant impact on all aspects of our society. As our society relies more and more on the web, the dependability of web applications has become increasingly important. To make these applications more dependable, for the past decade researchers have proposed various techniques for testing web-based software applications. Our literature search for related studies retrieved 193 papers in the area of web application testing, which have appeared between 2000 and 2013. Objective: As this research area matures and the number of related papers increases, it is important to systematically identify, analyze, and classify the publications and provide an overview of the trends and empirical evidence in this specialized field. Methods: We systematically review the body of knowledge related to functional testing of web application through a systematic literature review (SLR) study. This SLR is a follow-up and complimentary study to a recent systematic mapping (SM) study that we conducted in this area. As part of this study, we pose three sets of research questions, define selection and exclusion criteria, and synthesize the empirical evidence in this area. Results: Our pool of studies includes a set of 95 papers (from the 193 retrieved papers) published in the area of web application testing between 2000 and 2013. The data extracted during our SLR study is available through a publicly-accessible online repository. Among our results are the followings: (1) the list of test tools in this area and their capabilities, (2) the types of test models and fault models proposed in this domain, (3) the way the empirical studies in this area have been designed and reported, and (4) the state of empirical evidence and industrial relevance. Conclusion: We discuss the emerging trends in web application testing, and discuss the implications for researchers and practitioners in this area. The results of our SLR can help researchers to obtain an overview of existing web application testing approaches, fault models, tools, metrics and empirical evidence, and subsequently identify areas in the field that require more attention from the research community. (C) 2014 Elsevier Inc. All rights reserved.