| Type | Conference Paper |
|---|---|
| Author | K. Wallnau |
| Author | J. Solderitsch |
| Author | M. Simos |
| Author | R. McDowell |
| Author | K. Cassell |
| Author | D. Campbell |
| Date | November, 1988 |
| Proceedings Title | Proceedings of AIDA-88, Fourth Annual Conference on Artificial Intelligence and Ada |
| Place | George Mason University |
| Pages | 3 |
| Date Added | Wed May 25 19:40:49 2011 |
| Modified | Wed May 25 19:45:49 2011 |
| Type | Conference Paper |
|---|---|
| Author | Keith Cassell |
| Author | Peter Andreae |
| Author | Lindsay Groves |
| Abstract | Large classes typically have many internal interactions between their members, making them difficult to understand and expensive to maintain. When large classes are split into smaller, more cohesive classes, maintainability costs can be reduced; however, the very complexity that makes the classes costly to maintain also makes them difficult to split. Our ExtC tool uses clustering techniques to help solve this problem. By clustering based on the structural characteristics of the class, followed by additional clustering based on semantics, ExtC divides the members of large classes into groups. These groups provide the basis for refactoring the large classes into smaller, more cohesive ones. |
| Date | July 7-9, 2011 |
| Proceedings Title | Proceedings of the 23rd International Conference on Software Engineering and Knowledge Engineering |
| Conference Name | SEKE 2011 |
| Place | Miami, FL |
| Pages | 77-82 |
| Type | Conference Paper |
|---|---|
| Author | Raymond C McDowell |
| Author | Keith A Cassell |
| Abstract | Knowledge-based techniques provide tremendous leverage for managing and using repositories of reusable software. The Unisys Reusability Library Framework demonstrates this by providing an intelligent Librarian application that operates on a model of a software domain. The Librarian uses structured inheritance networks to model the library domain and organize the repository contents. The resulting structure of the domain model allows convenient repository browsing and component retrieval and provides a foundation for a variety of powerful tools. Rule-based inferencers complement this structure by making heuristic knowledge and advice available to the user. This makes the domain knowledge and repository organization more accessible to the user. The RLF uses a hybridization of these two knowledge representation paradigms, taking advantage of the strengths of each to provide intelligent assistance in the use and management of a software repository. |
| Date | September 1989 |
| Proceedings Title | Proceedings of the 4th Annual Rome Air Development Center Knowledge-Based Software Assistant Conference |
| Conference Name | KBSA-4 |
| Short Title | The RLF Librarian |
| URL | http://citeseerx.ist.psu.edu/viewdoc/summary? doi=10.1.1.56.7975 |
| Accessed | Wed Jul 29 09:37:57 2009 |
| Date Added | Wed Jul 29 09:37:57 2009 |
| Modified | Wed May 25 19:49:12 2011 |
| Type | Report |
|---|---|
| Author | Keith Cassell |
| Author | Peter Andreae |
| Author | Lindsay Groves |
| Author | James Noble |
| Abstract | When developing object-oriented classes, it is difficult to determine how to best refactor large, complex classes to create smaller, more cohesive ones. Automated algorithms can recommend solutions, but how can a programmer feel confident that an algorithm's recommendations are good ones? The test suite described here provides test classes for use as inputs to these automated algorithms, together with the preferred results - the class members that should be distributed to the extracted class. By comparing the actual results to the expected ones, a programmer can have some confidence that his algorithms are providing useful suggestions for refactoring. |
| Report Number | ECSTR 10-21 |
| Report Type | Technical Report |
| Place | Wellington, NZ |
| Institution | Victoria University of Wellington, Dept. ECS |
| Date | September 17, 2010 |
| Pages | 13 |
| URL | http://ecs.victoria.ac.nz/twiki/pub/Main/TechnicalReportSeries/ECSTR10-21.pdf |
| Date Added | Fri Sep 17 16:23:45 2010 |
| Modified | Fri Oct 8 17:25:54 2010 |
| Type | Conference Paper |
|---|---|
| Author | Keith Cassell |
| Author | Craig Anslow |
| Author | Lindsay Groves |
| Author | Peter Andreae |
| Abstract | When developing object-oriented classes, it is difficult to determine how to best reallocate the members of large, complex classes to create smaller, more cohesive ones. Clustering techniques can provide guidance on how to solve this allocation problem; however, inappropriate use of clustering can result in a class structure that is less maintainable than the original. The ExtC Visualizer helps the programmer understand the class structure by visually emphasizing important features of the class's members and their inter-relationships. More importantly, it helps users see how various clustering algorithms group the class's members. These insights help a programmer choose appropriate techniques for refactoring large classes. |
| Date | January 2011 |
| Proceedings Title | Proc. Australasian Computer Science Conference (ACSC 2011) |
| Conference Name | Australasian Computer Science Conference (ACSC '11) |
| Place | Perth, Australia |
| Publisher | ACS |
| Volume | 113 |
| Pages | 63-72 |
| Series | CRPIT |
| Date Added | Thu Dec 2 16:59:04 2010 |
| Modified | Fri Jan 28 11:26:07 2011 |
| Type | Conference Paper |
|---|---|
| Author | Keith Cassell |
| Author | Peter Andreae |
| Author | Lindsay Groves |
| Author | James Noble |
| Abstract | Large, unwieldy classes are a significant maintenance problem. Programmers dislike them because the fundamental logic is often obscured, making them hard to understand and modify. This paper proposes a solution - a semi-automatic technique for splitting large classes into smaller, more cohesive ones. The core of the technique is the use of betweenness clustering to identify the best way of partitioning a class. This turned a tedious manual process into a quick and simple semi-automated one in roughly one third of the cases we examined. |
| Date | 16-20 November 2009 |
| Proceedings Title | 24th IEEE/ACM International Conference on Automated Software Engineering |
| Conference Name | ASE 2009 |
| Place | Auckland, NZ |
| Pages | 595-599 |
| DOI | 10.1109/ASE.2009.21 |
| ISBN | 978-1-4244-5259-0 |
| Date Added | Wed Nov 25 16:30:19 2009 |
| Modified | Wed Mar 2 20:47:00 2011 |
| Type | Report |
|---|---|
| Author | William Alexander |
| Author | Ellen Boughter |
| Author | Keith Cassell |
| Author | Tom Keller |
| Report Number | MCC Technical Report Number DB-064-86 |
| Institution | MCC |
| Date | 1986 |
| Date Added | Thu Nov 26 10:55:15 2009 |
| Modified | Thu Nov 26 10:57:33 2009 |
| Type | Report |
|---|---|
| Author | Keith Cassell |
| Author | Tom Keller |
| Report Number | MCC Technical Report Number DB-148-85 |
| Institution | MCC |
| Date | 1985 |
| Date Added | Thu Nov 26 12:21:19 2009 |
| Modified | Thu Nov 26 12:23:12 2009 |
| Type | Journal Article |
|---|---|
| Author | Kurt Wallnau |
| Author | James Solderitsch |
| Author | Mark Simos |
| Author | Raymond McDowell |
| Author | Keith Cassell |
| Author | David Campbell |
| Publication | Intelligent Systems Review |
| Volume | 1 |
| Issue | 4 |
| Date | 1989 |
| Date Added | Fri Aug 7 14:49:54 2009 |
| Modified | Thu Nov 26 10:53:29 2009 |
Also available in the Proceedings of AIDA, Fourth Annual Conference on Artificial Intelligence and Ada. November, 1988. p.p. 3-1 through 3-21.
| Type | Thesis |
|---|---|
| Author | Keith A Cassell |
| Type | Master's thesis |
| University | University of Texas - Austin |
| Date | 1985 |
| Date Added | Wed Jul 29 09:49:39 2009 |
| Modified | Wed Nov 25 17:38:45 2009 |
Also available as MCC Technical Report Number DB-171-85. 1985.