ELECTRE TRI to classify items with respect to maintainability criterion

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper aims to suggest a methodology able to support the analyst in the assessment process of items on the base of a criterion inspired to the maintainability parameter and in the successive assignment phase of the items in the predefined classes. The maintainability involves the continuous improvement of a system in order to improve the ability to maintain or improve the reliability of the analyzed system. In particular, the last one is the probability that a failed system will be restored to specified conditions within a given period of time when maintenance is performed according to prescribed procedures and resources. The faced case in this research regards the software maintenance, field in which the maintainability can be defined as the probability that a program will be restored to working conditions in a given period of time when it is being changed, modified or enhanced. Furthermore, the maintainability can be subdivided into diverse sub criteria as Analysability ( how easy or difficult is to diagnose the system for deficiencies or to identify the parts that need to be modified), Changeability (how easy or difficult is to make adaptations to the system), Stability (how easy or difficult is to keep the system in a consistent state during the modification process), Testability (how easy or difficult is it to test the system after modifications). Thus, with respect to aforementioned sub criteria the present research wants to propose the ELECTRE TRI method in order to assign the different analyzed items, with relation to the maintainability criterion, into the different predefined classes. With the aim to illustrate the method validity, a numerical application is shown with relation to the classification, under the maintainability criterion, of different modular Enterprise Resource Planning software systems.
Original languageEnglish
Title of host publicationXIX Summer School "Francesco Turco" Industrial Mechanical Plants - SSD ING-IND/17
Pages250-254
Number of pages5
Publication statusPublished - 2014

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Management of Technology and Innovation
  • Organizational Behavior and Human Resource Management
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality
  • Waste Management and Disposal

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