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3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2014), June 3, 2014, Hyderabad, India

RAISE 2014 – Proceedings

Contents - Abstracts - Authors

3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2014)

Title Page
Article: icsews14raiseforeword-fm000-p doi:

Message from the Chairs
Article: icsews14raiseforeword-fm001-p doi:

Towards More Intelligent Trace Retrieval Algorithms
Jane Cleland-Huang and Jin Guo
(DePaul University, USA)
Article: icsews14raisemain-raiseid6-p doi:

A Mapping Study on Bayesian Networks for Software Quality Prediction
Ayse Tosun Misirli and Ayşe Başar Bener
(University of Oulu, Finland; Ryerson University, Canada)
Article: icsews14raisemain-raiseid17-p doi:

SANAYOJAN: A Framework for Traceability Link Recovery between Use-Cases in Software Requirement Specification and Regulatory Documents
Ritika Jain, Smita Ghaisas, and Ashish Sureka
(IIIT Delhi, India; Tata Consultancy Services, India)
Article: icsews14raisemain-raiseid1-p doi:

Supporting Comprehension of Unfamiliar Programs by Modeling an Expert's Perception
Naveen Kulkarni and Vasudeva Varma
(IIIT Hyderabad, India)
Article: icsews14raisemain-raiseid5-p doi:

Machine Learning for Constituency Test of Coordinating Conjunctions in Requirements Specifications
Richa Sharma, Jaspreet Bhatia, and K. K. Biswas
(IIT Delhi, India)
Article: icsews14raisemain-raiseid8-p doi:

OCL Usability: A Major Challenge in Adopting UML
Imran Sarwar Bajwa, Behzad Bordbar, and Mark Lee
(Islamia University of Bahawalpur, Pakistan; University of Birmingham, UK)
Article: icsews14raisemain-raiseid14-p doi:

A Self-Learning Approach for Validation of Communication in Embedded Systems
Falk Langer and Erik Oswald
(Fraunhofer ESK, Germany)
Article: icsews14raisemain-raiseid2-p doi:

Deriving Time Lines from Texts
Mathias Landhäußer, Tobias Hey, and Walter F. Tichy
(KIT, Germany)
Article: icsews14raisemain-raiseid4-p doi:

Mining Issue Tracking Systems using Topic Models for Trend Analysis, Corpus Exploration, and Understanding Evolution
Ayushi Aggarwal, Gajendra Waghmare, and Ashish Sureka
(IIIT Delhi, India)
Article: icsews14raisemain-raiseid12-p doi:

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