Evergreen Software Preservation

The Conceptual Framework Of Anti-Ageing Model

Jamaiah Yahaya, Aziz Deraman, Zuriani Hayati Abdullah

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The symptom of degradation in term of quality is observed as the indicator of ageing phenomenon in software system. In human and living creators, ageing is an inescapable manifestation for every living creature on earth. In human being, this phenomenon of delaying the ageing process is normally known as anti-ageing. We try to understand and learn the process of ageing in software through understanding the human ageing process. Unlike human ageing, software ageing can be delayed by identifying factors that influence the ageing. Ageing in software is occurring when the software is degraded in term of its quality, user’s satisfaction and dynamic. Previous studies indicated that software ageing factors possibly will be classified into some categorization such as cost, technology, human, functionality and environment. Our past experiences in software quality and certification motivate us to the development of software anti-ageing model and its related areas which are the ageing factors and rejuvenation index. This paper presents the background issues in software ageing which includes software quality and certification, and focus further on the conceptual framework of software anti-ageing model and preliminary formulation of anti-ageing model.

Original languageEnglish
Pages (from-to)899-906
Number of pages8
JournalLecture Notes in Electrical Engineering
Volume339
DOIs
Publication statusPublished - 2015

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Aging of materials
Earth (planet)
Degradation

Keywords

  • Evergreen software
  • Software ageing
  • Software anti-ageing
  • Software certification
  • Software quality

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Evergreen Software Preservation : The Conceptual Framework Of Anti-Ageing Model. / Yahaya, Jamaiah; Deraman, Aziz; Abdullah, Zuriani Hayati.

In: Lecture Notes in Electrical Engineering, Vol. 339, 2015, p. 899-906.

Research output: Contribution to journalArticle

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