Title | ||
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Estimating and Quantifying the Benefits of Refactoring to Improve a Component Modularity: A Case Study |
Abstract | ||
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In recent years, research and industry's attention has been focused on maintaining a system that would both decrease time to market in the short term and assure a sustainable feature output and smooth maintenance operations in the long run. A related phenomenon has been identified in Architectural Technical Debt: if the system architecture is sub-optimal for long-term business goals, it needs to be refactored. A key property of the system assuring long-term goals consists on modularity, or else the ability to decouple different components: such property allows the product to be evolved without costly changes pervading the whole system. However, understanding the business benefits of refactoring to achieve modularity is not trivial, especially for large refactorings involving substantial architectural changes. We have conducted a case study in a large company, analyzing a case of refactoring a component to achieve modularity. We report a comparative study of a refactored against a non-refactored component. We found that the modularization would be repaid in several months of development and maintenance. We present a method to calculate the effort saved by the modularization and an equation for calculating and quantifying the development and maintenance benefits of refactoring. |
Year | DOI | Venue |
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2016 | 10.1109/SEAA.2016.48 | 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) |
Keywords | Field | DocType |
Software Management,Refactoring,Estimation,Technical Debt,Modularization,Software Architecture | Software engineering,Systems engineering,Computer science,Modular programming,Systems architecture,Technical debt,Software maintenance,Software architecture,Time to market,Code refactoring,Modularity | Conference |
ISSN | ISBN | Citations |
2376-9505 | 978-1-5090-2821-4 | 2 |
PageRank | References | Authors |
0.38 | 8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Antonio Martini | 1 | 80 | 5.09 |
Erik Sikander | 2 | 7 | 0.85 |
Niel Medlani | 3 | 2 | 0.38 |