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Author: Fernandez Sanz, LuisWoS Q: Q2

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    Article
    Citation - WoS: 20
    Citation - Scopus: 25
    Quantitative Quality Evaluation of Software Products by Considering Summary and Comments Entropy of a Reported Bug
    (Mdpi, 2019) Kumari, Madhu; Misra, Ananya; Misra, Sanjay; Fernandez Sanz, Luis; Damasevicius, Robertas; Singh, V. B.
    A software bug is characterized by its attributes. Various prediction models have been developed using these attributes to enhance the quality of software products. The reporting of bugs leads to high irregular patterns. The repository size is also increasing with enormous rate, resulting in uncertainty and irregularities. These uncertainty and irregularities are termed as veracity in the context of big data. In order to quantify these irregular and uncertain patterns, the authors have appliedentropy-based measures of the terms reported in the summary and the comments submitted by the users. Both uncertainties and irregular patterns have been taken care of byentropy-based measures. In this paper, the authors considered that the bug fixing process does not only depend upon the calendar time, testing effort and testing coverage, but it also depends on the bug summary description and comments. The paper proposed bug dependency-based mathematical models by considering the summary description of bugs and comments submitted by users in terms of the entropy-based measures. The models were validated on different Eclipse project products. The models proposed in the literature have different types of growth curves. The models mainly follow exponential, S-shaped or mixtures of both types of curves. In this paper, the proposed models were compared with the modelsfollowingexponential, S-shaped and mixtures of both types of curves.
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    Article
    Citation - WoS: 15
    Citation - Scopus: 18
    Fosses: Framework for Open-Source Software Evaluation and Selection
    (Wiley, 2019) Adewumi, Adewole; Misra, Sanjay; Omoregbe, Nicholas; Fernandez Sanz, Luis
    A plethora of approaches exists for the evaluation and selection of open-source software (OSS) in the literature. However, these approaches are hardly ever used in practice for the following reasons: first, the lack of a situational-based procedure to define the evaluation criteria for OSS given its varied and dynamic nature; second, the inability of existing evaluation techniques, such as the analytic hierarchy process, to cope well with uncertainty factors, thus producing misleading results that affect the quality of decisions made; and third, a significant number of existing approaches require the prototyping of alternatives being considered in order to facilitate evaluation and decision-making. This study addresses the aforementioned challenges by evolving a process framework for evaluating and selecting OSS. The proposed framework is validated by applying it to a case study. In addition, expert opinion was elicited via questionnaires from 10 experts, and overall feedback suggests that 80% of them are willing to adopt the approach.