NDLI: A Recommender Agent for Software Libraries: An Evaluation of Memory-Based and Model-Based Collaborative Filtering

Content Provider	ACM Digital Library
Author	Kushmerick, Nicholas Cinneide, Mel O. McCarey, Frank
Abstract	Software Agents can conveniently facilitate knowledge discovery and knowledge sharing across an organisation. We contend that programming tasks are often mimicked, that knowledge concerning reusable libraries can be extracted automatically from source code repositories, and that this knowledge can then be filtered and presented to a developer in a manner that will encourage and support future software reuse. We describe RASCAL, a recommender agent that continually recommends a set of task-relevant library methods to a developer. RASCAL learns information regarding how a particular reusable library is used and then employs this insight to make task-relevant recommendations to a developer. In this paper we detail our RASCAL agent and compare two recommendation techniques, namely Memory-Based and Model-Based Collaborative Filtering. We are interested in producing a scalable and efficient real-time recommender and thus ideally would favour a Model-Based approach. However, each scheme is evaluated against both runtime performance and recommendation accuracy. We present results and discuss the merits and limitations of each technique.
Starting Page	154
Ending Page	162
Page Count	9
File Format	PDF
ISBN	0769527485
DOI	10.1109/IAT.2006.23
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-12-18
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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A Recommender Agent for Software Libraries: An Evaluation of Memory-Based and Model-Based Collaborative Filtering