Evergreen Software Preservation: The Conceptual Framework of Anti-Ageing Model

Yahaya, Jamaiah; Deraman, Aziz; Abdullah, Zuriani Hayati

doi:10.1007/978-3-662-46578-3_107

Cited by 4 publications

(6 citation statements)

References 11 publications

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“…Previous researchers revealed that one way to manage software ageing was through systematic maintenance of the software [20]. Software maintenance is a vast activity process of modifying and upgrading the software or part of the software to repair software error or fault, to add new functions or modification, or adaptation to a new environment [22] [23].…”

Section: A the Anti-ageing Guidelinementioning

confidence: 99%

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The Implementation of Software Anti-Ageing Model towards Green and Sustainable Products

Abdullah

Yahaya

Ibrahim

et al. 2019

IJACSA

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Software ageing is a phenomenon that normally occurs in a long running software. Progressive degradation of software performance is a symptom that shows software is getting aged and old. Researchers believe that the ageing phenomenon can be delayed by applying anti-ageing techniques towards the software or also known as software rejuvenation. Software ageing factors are classified into two categories: internal and external factors. This study focuses on external factors of software ageing, and are categorized into three main factors: environment, human and functional. These three factors were derived from empirical study that been conducted involving fifty software practitioners in Malaysia. The anti-ageing model (SEANA model) is proposed to support in preventing the software from prematurely aged, thus prolong its usage and sustainable in their environment. SEANA model is implemented in collaboration with a government agency in Malaysia to verify and validate the model in real environment. The prototype of SEANA model was developed and applied in the real case study. Furthermore, the anti-ageing guideline and actions are suggested for ageing factors to delay the ageing phenomenon in application software and further support the greenness and sustainability of software products.

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Section: A the Anti-ageing Guidelinementioning

confidence: 99%

“…The problem led to a progressive decline in software performance, and caused the software to not function properly. This degradation process is called software ageing [5] [23]. Previous studies revealed that we could slowed down software ageing by identifying the influential factors of the ageing phenomenon.…”

Section: Introductionmentioning

confidence: 99%

The Implementation of Software Anti-Ageing Model towards Green and Sustainable Products

Abdullah

Yahaya

Ibrahim

et al. 2019

IJACSA

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“…Software aging can be defined as the progressive performance degradation or the state of the software degrades in time [3]. While internal factors of the software that lead to aging has been investigated extensively, there are not much attention given to the human factors that may lead to software aging [2].…”

Section: Research Backgroundmentioning

confidence: 99%

“…Factors that can affects software aging can be classified into several categories: 1) functional, 2) human, 3) product and 4) environment [3]. In general, the factors that affect software aging can be divided into internal and external factors.…”

Section: Introductionmentioning

confidence: 99%

“…David Parnas divided software aging into two categories: 1) the failure of the software to adapt with environment that is dynamic and 2) the result of the changes itself [2]. Factors that can affects software aging can be classified into several categories: 1) functional, 2) human, 3) product and 4) environment [3]. In general, the factors that affect software aging can be divided into internal and external factors.…”

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confidence: 99%

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Initial Review on ICTS Governance for Software Anti-Aging

Morshidi

Nor

Mahdin

2017

JOIV : Int. J. Inform. Visualization

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Abstract-For the past 20 years various researches regarding software aging have been conducted. Software aging is the situation in which the accumulation of errors occurring in operational software system that has run for a long time that may lead to performance degradation, resource depletion and eventually causing the software to crash or hang [1]. David Parnas divided software aging into two categories: 1) the failure of the software to adapt with environment that is dynamic and 2) the result of the changes itself [2]. Factors that can affects software aging can be classified into several categories: 1) functional, 2) human, 3) product and 4) environment [3]. In general, the factors that affect software aging can be divided into internal and external factors. The main objectives of this paper are to briefly describe the definition of software aging and also ICTS governance. In addition, to that, this paper also compiles the software aging factors that are being investigated by previous researchers. The need for future research regarding ICTS governance and Software aging also determined at the end of this paper.

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