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4th International Workshop on Recommendation Systems for Software Engineering (RSSE 2014), June 3, 2014, Hyderabad, India

RSSE 2014 – Proceedings

Contents - Abstracts - Authors

4th International Workshop on Recommendation Systems for Software Engineering (RSSE 2014)

Frontmatter

Title Page
Article: icsews14rsseforeword-fm000-p (type: Frontmatter) doi:
Message from the Chairs
Article: icsews14rsseforeword-fm001-p (type: Frontmatter) doi:

Long Papers

Using Developer Conversations to Resolve Uncertainty in Software Development: A Position Paper
Ahmed Shah Mashiyat, Michalis Famelis, Rick Salay, and Marsha Chechik
(University of Toronto, Canada)
Article: icsews14rssemain-rsseid9-p (type: Full Paper) doi:
Recommending a Starting Point for a Programming Task: An Initial Investigation
C. Albert Thompson and Gail C. Murphy
(University of British Columbia, Canada)
Article: icsews14rssemain-rsseid10-p (type: Full Paper) doi:
Variable Provenance in Software Systems
Pavan Kumar Chittimalli and Ravindra Naik
(Tata Consultancy Services, India)
Article: icsews14rssemain-rsseid13-p (type: Full Paper) doi:
Towards Standardized Evaluation of Developer-Assistance Tools
Sebastian Proksch, Sven Amann, and Mira Mezini
(TU Darmstadt, Germany)
Article: icsews14rssemain-rsseid6-p (type: Full Paper) doi:
Recommending Process Improvement Package using Direct and Indirect Relationships of Activities
Su-jin Choi, Dae-Kyoo Kim, Sooyong Park, Junha Lee, and Soojin Park
(Sogang University, South Korea; Oakland University, USA)
Article: icsews14rssemain-rsseid11-p (type: Full Paper) doi:

Short Papers

Recommendation System to Enhance Planning of Software Development using R
Jaideep Jagadeeshwar Rao, Rakesh Kelappan, and Paul Pallath
(SAP Labs, India)
Article: icsews14rssemain-rsseid1-p (type: Short Paper) doi:
Towards a Visualized Code Recommendation for APIs Enriched with Specification Mining
Mohammad Ghafari and Abbas Heydarnoori
(Politecnico di Milano, Italy; Sharif University of Technology, Iran)
Article: icsews14rssemain-rsseid8-p (type: Short Paper) doi:
Code Recommendation Based on a Degree-of-Interest Model
Naoya Murakami, Hidehiko Masuhara, and Tomoyuki Aotani
(University of Tokyo, Japan; Tokyo Institute of Technology, Japan)
Article: icsews14rssemain-rsseid3-p (type: Short Paper) doi:
Automated Support for Human Resource Allocation in Software Process by Cluster Analysis
Thiago Jorge A. Santos, Adailton M. Lima, Carla A. Lima Reis, and Rodrigo Quites Reis
(Federal University of Pará, Brazil)
Article: icsews14rssemain-rsseid5-p (type: Short Paper) doi:

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