A Bio-Inspired Approach to Selective Inheritance Modeling

Hamouda, Darin; Ghoul, Said; Hardan, Hanan

doi:10.14257/ijseia.2014.8.1.06

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Bio-inspired approaches are based on mapping biological features on computing. At present, the use of bio-inspired concepts in various aspects of the computer domains has become widespread and effective [13,15,22,23,24]. Its introduction in use case variability modeling constitutes the contribution presented in this work.…”

Section: Introductionmentioning

confidence: 99%

Bio-Inspired Requirements Variability Modeling with use Case

Abdel-Ghani¹,

Ghoul²

2019

IJSEA

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Background.Feature Model (FM) is the most important technique used to manage the variability through products in Software Product Lines (SPLs). Often, the SPLs requirements variability is by using variable use case modelwhich is a real challenge inactual approaches: large gap between their concepts and those of real world leading to bad quality, poor supporting FM, and the variability does not cover all requirements modeling levels.Aims. This paper proposes a bio-inspired use case variability modeling methodology dealing with the above shortages.Method. The methodology is carried out through variable business domain use case meta modeling, variable applications family use case meta modeling, and variable specific application use case generating.Results. This methodology has leaded to integrated solutions to the above challenges: it decreases the gap between computing concepts and real world ones. It supports use case variability modeling by introducing versions and revisions features and related relations. The variability is supported at three meta levels covering business domain, applications family, and specific application requirements. Conclusion.A comparative evaluation with the closest recent works, upon some meaningful criteria in the domain, shows the conceptual and practical great value of the proposed methodology and leads to promising research perspectives. KEYWORDSSoftware requirements variability, bio-inspired variability modeling, use case variability, feature model, software requirements versions, software requirements revisions.

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Section: Introductionmentioning

confidence: 99%

Bio-Inspired Requirements Variability Modeling with use Case

Abdel-Ghani¹,

Ghoul²

2019

IJSEA

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“…Whereas some others are based on bio-inspired techniques 9,10 which are emergent and promising now-a-days 11 . So far, all researches concerned with bio-inspired self-adaptive software, have based their work on imitating the external behavior of biological entities like neural networks 12 , cells 13 , immunology 14 and ant colony 15 rather than taking advantage of the internal capabilities that exit within those living entities, like genetic material 16 .…”

Section: Introductionmentioning

confidence: 99%

A Genetic Framework Model for Self-adaptive Software

Nafar¹,

Ghoul²

2017

J. of Software Engineering

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Background: Self-adaptive software changes its behavior at runtime without affecting the running system. It has recently been a rich research area. Lots of organizations have adopted it in their environments to accommodate with changing requirements. Lots of bio-inspired research works, which are better than the conventional ones have been conducted in the area of self-adaptive software. All of them have focused on the external behavior of biological entities (like birds, ants, immunity, etc.) without going in depth into their genetic material that causes this behavior and constitutes the challenge the work presented in this study dealt with. Materials and Methods: This study proposes a solution to the above current challenge by developing a framework model for self-adaptive software; inspired by the adaptation (evolution) of biological entities and taking into consideration the role of genetic material in the adaptation process. Its scope is limited to changes that take place at runtime but that are known at design. Results: The obtained framework model was evaluated through its reuse in software objects evolution. The practical and theoretical obtained results were valuable in the object-oriented paradigm. The proposed framework completes the others bio-inspired research current works by providing a natural implementing way. The integration of the current bio-inspired approaches (which deal with natural entities behaviors external modeling) with the proposed framework (which deals with genetics-inspired internal modeling of these behaviors) will lead to homogenous and coherent bio-inspired approaches to self-adaptive software. Conclusion: The proposed framework is limited to self-adaptations predicted at the requirements and design steps in self-adaptive software engineering, which is significant in practice. However, the unpredicted adaptation (to unpredicted errors, environment requirements, etc.) will be a genetics-inspired approach real challenge. Separate evaluation of the proposed framework performance is not determinant. However, the performance evaluation of the actual bio-inspired hybrid approaches against the proposed integrated ones (which is impossible to achieve actually) will be valuable. It might be expected that the integrated ones will be better (in the whole self-adaptive software engineering processes) than the hybrid current ones. The homogeneity of approaches has its important impact.

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A Road Map to Bio-inspired Software Engineering

Ghoul¹

2016

Research J. of Information Technology

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Software production research is rapidly evolving in two parallel approaches: conventional and bio-inspired. Bio-inspired approaches are generally developed and presented as enhancements of conventional ones. However, conventional approaches benefit from their integration with their global context, through software engineering methodologies, for being advantageous. The integration of bio-inspired approaches, with bio-inspired software engineering methodologies, will enrich bio-inspired approaches and let them be irrefutably the best. This paper identifies the motivation of the emergence of such bio-inspired software engineering, presents a first approach to it with a road map, and some of its challenges. The application of this first approach on different software systems categories is presented with its summary evaluation. However, the evaluation on industrial real software scale remains an open challenge.

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A Bio-Inspired Approach to Selective Inheritance Modeling

Cited by 3 publications

References 7 publications

Bio-Inspired Requirements Variability Modeling with use Case

Bio-Inspired Requirements Variability Modeling with use Case

A Genetic Framework Model for Self-adaptive Software

A Road Map to Bio-inspired Software Engineering

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