title: Which factors affect software projects maintenance cost more?
abstract: BACKGROUND
  The software industry has had significant progress in recent years. The entire life of software includes two phases: production and maintenance. Software maintenance cost is increasingly growing and estimates showed that about 90% of software life cost is related to its maintenance phase. Extraction and considering the factors affecting the software maintenance cost help to estimate the cost and reduce it by controlling the factors.
  
  
  METHODS
  In this study, the factors affecting software maintenance cost were determined then were ranked based on their priority and after that effective ways to reduce the maintenance costs were presented. This paper is a research study. 15 software related to health care centers information systems in Isfahan University of Medical Sciences and hospitals function were studied in the years 2010 to 2011.
  
  
  CONCLUSIONS
  Among Medical software maintenance team members, 40 were selected as sample. After interviews with experts in this field, factors affecting maintenance cost were determined. In order to prioritize the factors derived by AHP, at first, measurement criteria (factors found) were appointed by members of the maintenance team and eventually were prioritized with the help of EC software. Based on the results of this study, 32 factors were obtained which were classified in six groups. "Project" was ranked the most effective feature in maintenance cost with the highest priority. By taking into account some major elements like careful feasibility of IT projects, full documentation and accompany the designers in the maintenance phase good results can be achieved to reduce maintenance costs and increase longevity of the software.
authors.affiliation: Department of Medical Informatics. Faculty of Health Services Management and Medical Information Sciences , Isfahan.
authors.forename: Sayed Mehdi Hejazi
authors.initials: SM
authors.lastname: Dehaghani
authors.forename: Nafiseh
authors.initials: N
authors.lastname: Hajrahimi
keywords: AHP model; Cost; Effective factors; Health information systems; Software maintenance