Metrics for optimal maintenance management
The Institute of Electrical and Electronics Engineers, Inc on Conference on software maintenance--1985
Software engineering fundamentals
Software engineering fundamentals
Software Engineering Economics
Software Engineering Economics
Function Point Analysis: Difficulties and Improvements
IEEE Transactions on Software Engineering
Agile Estimating and Planning
A study of the documentation essential to software maintenance
Proceedings of the 23rd annual international conference on Design of communication: documenting & designing for pervasive information
Importance of software component characterization for better software reusability
ACM SIGSOFT Software Engineering Notes
An Evolution Model for Software Modularity Assessment
WoSQ '07 Proceedings of the 5th International Workshop on Software Quality
Iterative Maintenance Life Cycle Using eXtreme Programming
ARTCOM '10 Proceedings of the 2010 International Conference on Advances in Recent Technologies in Communication and Computing
Extended iterative maintenance life cycle using eXtreme programming
ACM SIGSOFT Software Engineering Notes
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Software maintenance through extreme programming approach requires a dedicated algorithmic cost estimation process due to lack of algorithmic approaches for estimating cost, size and duration in agile methodology. Existing approaches of software maintenance estimation such as ACT, FP and COCOMO 2.0 reuse model are based on traditional methods of software development. Software Maintenance Effort Estimation Model (SMEEM) is an estimation method that incorporates various value adjustment factors affecting the estimation of the maintenance project [2]. The SMEEM model generates the more realistic and precise estimation results for agile and extreme programming based maintenance environment. The SMEEM Model calculates and adjusts size of maintenance effort but it is unable to estimate phase wise effort, which is crucial to determine the accurate estimates. In this paper, effort estimation technique is proposed for maintenance project that estimates phase wise effort. This technique employs empirical data from industry practitioners and PG students for phase effort estimation. The proposed technique is illustrated and validated using a case study in subsequent section. It provides more realistic result as compare to the existing techniques on maintenance effort estimation and helpful in estimating phase wise maintenance effort in extreme programming based maintenance environment.