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Software ageing is a phenomenon of software performance and quality performance decreases with time. Many previous studies assessing the impact experienced by software in aging phase. In this study, the aging of the software defined differently with previous studies. In this study software ageing is defined as a software that  loses it value and quality to consumers and the environment. An empirical study was undertaken to identify other factors that affect software ageing. The purpose of this article is to present an analysis of the results of empirical studies on factors that affecting  software ageing. In this empirical study, questionnaires were distributed randomlyto software practitioners through a recognized database. Questionnaires were analyzed using SPSS software. The results of the empirical study identifies the factors that influence the software ageing. Factorsare classified according to specific classes based on the combinationof classification approach, Goal Question Metric(GQM) and Factor Attribute Metric Measure(FAME). The final result of this article is a hierarchical classification structure factors that will be used as the basis for the development of the instrument in the case study at the next level.

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