Towards an Estimation Model for Software Maintenance Costs

Author(s):  
Irene Buchmann ◽  
Sebastian Frischbier ◽  
Dieter Putz
1985 ◽  
Vol 17 (1) ◽  
pp. 233-237
Author(s):  
William R. Herrin

2012 ◽  
Vol 198-199 ◽  
pp. 490-494
Author(s):  
Xin Yun Mei ◽  
Jian Bin Liu

Refactoring has been studied for a long time, especially model refactoring has become the hot spot of research in recent years. However, the difference between source-based refactoring and model-based refactoring makes it hard to keep consistent between the target code and model refactoring operations. To resolve the problem, this paper presents a refactoring framework of program model based on Procedure Blueprint and gives the prototyping tool system of program model refactoring. Through seamless connection source code established by procedure blueprint to program model,the formalized framework unified the refactoring of source-based and program model based. The refactoring framework supports the visualization representation of program model and the validation for behavior preservation of graphics transformation, which reduces the complexity of refactoring analysis and software maintenance costs.


Author(s):  
Harry M. Sneed

This chapter deals with the subject of estimating the costs of software maintenance. It reviews the existing literature on the subject and summarises the various approaches taken to estimate maintenance costs starting with the original COCOMO approach in 1981. It then deals with the subject of impact analysis and why it is essential to estimate the scope of maintenance projects. Examples are given to illustrate this. It then goes on to describe some of the tools the author has developed in the past ten years to support his practice of maintenance project estimation including the tools SoftCalc and MainCost. For both of these tools empirical studies of industrial experiments are presented as proof of the need to automate the estimation process.


Author(s):  
Mariana Carvalho ◽  
Eusébio Nunes ◽  
José Telhada

This paper deals with the problem of estimation maintenance costs for the case of the pitch controls system of wind farms turbines. Previous investigations have estimated these costs as (traditional) “crisp” values, simply ignoring the uncertainty nature of data and information available. This paper purposes an extended version of the estimation model by making use of the Fuzzy Set Theory. The results alert decision-makers to consequent uncertainty of the estimations along with their overall level, thus improving the information given to the mainte-nance support system.


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