@misc{12328,
  keywords = {Conference},
  author = {Aiko Yamashita},
  title = {How Good Are Code Smells for Evaluating Software Maintainability? - Results From a Comparative Case Study},
  abstract = {An advantage of code smells over traditional software measures is that the former are associated with an explicit set of refactorings to improve the existing design. Past research on code smells has emphasized the formalization and automated detection of code smells, but much less has been done to empirically investigate how good are code smells for evaluating software maintainability. This paper presents a summary of the findings in the thesis by Yamashita [1], which aimed at investigating the strengths and limitations of code smells for evaluating software maintainability. The study conducted comprised an outsourced maintenance project involving four Java web systems with equivalent functionality but dissimilar implementation, six software professionals, and two software companies. A main result from the study is that the usefulness of code smells differs according to the granularity level (e.g., whether the assessment is done at file or system level) and the particular operationalization of maintainability (e.g., maintainability can be measured via maintenance effort, or problems encountered during maintenance, etc). This paper summarises the most relevant findings from the thesis, discusses a series of lessons learned from conducting this study, and discusses avenues for new research in the area of code smells.},
  year = {2013},
  journal = {Post-doctoral symposium at 29th IEEE International Conference on Software Maintenance (ICSM)},
}