Aspect-mining techniques help to identify crosscutting structure that could potentially be modularized through object-oriented (OO) or aspect-oriented refactoring (AO). This paper describes a case study in which we used aspect-mining techniques to identify and refactor crosscutting concerns using aspect-oriented programming. We observed that, in our case, there were many subtle variations in the implementation of the concerns that made them non-trivial to modularize with AO refactoring. In the end, we solved our modularization problem using traditional OO refactoring. We conclude that there exists an important gap between the identification of crosscutting concerns and the technologies available to mitigate the problem.
{"title":"Bridging the gap between aspect mining and refactoring","authors":"I. Yuen, M. Robillard","doi":"10.1145/1275672.1275673","DOIUrl":"https://doi.org/10.1145/1275672.1275673","url":null,"abstract":"Aspect-mining techniques help to identify crosscutting structure that could potentially be modularized through object-oriented (OO) or aspect-oriented refactoring (AO). This paper describes a case study in which we used aspect-mining techniques to identify and refactor crosscutting concerns using aspect-oriented programming. We observed that, in our case, there were many subtle variations in the implementation of the concerns that made them non-trivial to modularize with AO refactoring. In the end, we solved our modularization problem using traditional OO refactoring. We conclude that there exists an important gap between the identification of crosscutting concerns and the technologies available to mitigate the problem.","PeriodicalId":210171,"journal":{"name":"LATE@AOSD","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117029664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Program documentation is often incomplete and out of date due to its tediousness and perceived low value. This requires evolution tasks to be preceded by time-consuming exploration. In this paper, we explore a concern-oriented approach to documentation that focuses on the code artifacts and their relationships to make the process of creating and using program documentation more efficient. As opposed to traditional documents or tutorials, guides created using this approach are interactive, almost wordless and automatically maintain implementation examples. We also present the rationale and the architecture of Mismar, a toolset tightly integrated in the Eclipse environment and implementing this approach. Moreover, since program documentation involves different artifact types, Mismar was build from the ground up to be extensible, and to support artifacts written in multiple languages or modeling approaches.
{"title":"Aiding evolution with concern-oriented guides","authors":"Barthélémy Dagenais, H. Ossher","doi":"10.1145/1275672.1275676","DOIUrl":"https://doi.org/10.1145/1275672.1275676","url":null,"abstract":"Program documentation is often incomplete and out of date due to its tediousness and perceived low value. This requires evolution tasks to be preceded by time-consuming exploration. In this paper, we explore a concern-oriented approach to documentation that focuses on the code artifacts and their relationships to make the process of creating and using program documentation more efficient. As opposed to traditional documents or tutorials, guides created using this approach are interactive, almost wordless and automatically maintain implementation examples. We also present the rationale and the architecture of Mismar, a toolset tightly integrated in the Eclipse environment and implementing this approach. Moreover, since program documentation involves different artifact types, Mismar was build from the ground up to be extensible, and to support artifacts written in multiple languages or modeling approaches.","PeriodicalId":210171,"journal":{"name":"LATE@AOSD","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130285774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper we evaluate logic code analysis and transformation frameworks for their suitability as basic infrastructures for fast detection and extraction of (crosscutting) concerns. Using design patterns as example concerns, we identify desirable properties that an infrastructure should fulfill. We then report our initial results of evaluating candidate systems with respect to these properties. We show how high precision design pattern detectors can be easily formulated as predicates that are evaluated in mere seconds even on the sources of large software systems, such as the Eclipse IDE. Although details still remain to be analyzed further, our current results suggest that the pair JTransformer & CTC is a good candidate for a general infrastructure, combining very good querying performance, scalability and short turn-around times with a seamless integration of querying and transformation capabilities.
{"title":"A comparison of logic-based infrastructures for concern detection and extraction","authors":"Günter Kniesel, Jan Hannemann, T. Rho","doi":"10.1145/1275672.1275678","DOIUrl":"https://doi.org/10.1145/1275672.1275678","url":null,"abstract":"In this paper we evaluate logic code analysis and transformation frameworks for their suitability as basic infrastructures for fast detection and extraction of (crosscutting) concerns. Using design patterns as example concerns, we identify desirable properties that an infrastructure should fulfill. We then report our initial results of evaluating candidate systems with respect to these properties. We show how high precision design pattern detectors can be easily formulated as predicates that are evaluated in mere seconds even on the sources of large software systems, such as the Eclipse IDE. Although details still remain to be analyzed further, our current results suggest that the pair JTransformer & CTC is a good candidate for a general infrastructure, combining very good querying performance, scalability and short turn-around times with a seamless integration of querying and transformation capabilities.","PeriodicalId":210171,"journal":{"name":"LATE@AOSD","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125949586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a model for improving the adaptiveness of AOP frameworks. While a metadata pointcut can be an effective tool for encapsulating and consuming the program events related to a crosscutting concern, AOP languages do not provide a succinct mechanism for binding certain types of crosscutting object references used in advice. We present a design pattern for writing adaptive aspects that consume role-based annotations, enabling a framework to be written in a manner that diminishes the occurrence of the fragile pointcut problem.
{"title":"Role annotations and adaptive aspect frameworks","authors":"L. Seiter","doi":"10.1145/1275672.1275675","DOIUrl":"https://doi.org/10.1145/1275672.1275675","url":null,"abstract":"This paper presents a model for improving the adaptiveness of AOP frameworks. While a metadata pointcut can be an effective tool for encapsulating and consuming the program events related to a crosscutting concern, AOP languages do not provide a succinct mechanism for binding certain types of crosscutting object references used in advice. We present a design pattern for writing adaptive aspects that consume role-based annotations, enabling a framework to be written in a manner that diminishes the occurrence of the fragile pointcut problem.","PeriodicalId":210171,"journal":{"name":"LATE@AOSD","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128356354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many aspect mining techniques have already been proposed, even if aspect mining is a relatively new research domain. That is why the necessity to classify and to compare them has emerged. Not all the characteristics of the aspect mining techniques were considered as comparison criteria and very few generally applicable evaluation measures were proposed. This paper proposes a set of new criteria to compare the existing aspect mining techniques and a set of new evaluation measures to compare the results obtained by these techniques. The applicability of these measures for different aspect mining techniques is also discussed.
{"title":"On some criteria for comparing aspect mining techniques","authors":"G. Cojocar, G. Czibula","doi":"10.1145/1275672.1275679","DOIUrl":"https://doi.org/10.1145/1275672.1275679","url":null,"abstract":"Many aspect mining techniques have already been proposed, even if aspect mining is a relatively new research domain. That is why the necessity to classify and to compare them has emerged. Not all the characteristics of the aspect mining techniques were considered as comparison criteria and very few generally applicable evaluation measures were proposed. This paper proposes a set of new criteria to compare the existing aspect mining techniques and a set of new evaluation measures to compare the results obtained by these techniques. The applicability of these measures for different aspect mining techniques is also discussed.","PeriodicalId":210171,"journal":{"name":"LATE@AOSD","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132283549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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