Departures from optimality: Understanding human analyst's information foraging in assisted requirements tracing
暂无分享,去创建一个
Nan Niu | Anas Mahmoud | Zhangji Chen | Gary L. Bradshaw | Gary Bradshaw | Nan Niu | Anas Mahmoud | Zhangji Chen
[1] Peter Pirolli,et al. Computational models of information scent-following in a very large browsable text collection , 1997, CHI.
[2] Jane Huffman Hayes,et al. Automated Requirements Traceability: The Study of Human Analysts , 2010, 2010 18th IEEE International Requirements Engineering Conference.
[3] Rachel K. E. Bellamy,et al. Scents in Programs:Does Information Foraging Theory Apply to Program Maintenance? , 2007, IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2007).
[4] Rachel K. E. Bellamy,et al. How Programmers Debug, Revisited: An Information Foraging Theory Perspective , 2013, IEEE Transactions on Software Engineering.
[5] Hoyt Lougee,et al. SOFTWARE CONSIDERATIONS IN AIRBORNE SYSTEMS AND EQUIPMENT CERTIFICATION , 2001 .
[6] Nan Niu,et al. Source code indexing for automated tracing , 2011, TEFSE '11.
[7] Jane Huffman Hayes,et al. Advancing candidate link generation for requirements tracing: the study of methods , 2006, IEEE Transactions on Software Engineering.
[8] Giuliano Antoniol,et al. Recovering Traceability Links between Code and Documentation , 2002, IEEE Trans. Software Eng..
[9] Jane Huffman Hayes,et al. On human analyst performance in assisted requirements tracing: Statistical analysis , 2011, 2011 IEEE 19th International Requirements Engineering Conference.
[10] Alexander Egyed,et al. Effort and Quality of Recovering Requirements-to-Code Traces: Two Exploratory Experiments , 2010, 2010 18th IEEE International Requirements Engineering Conference.
[11] Jane Cleland-Huang,et al. Clustering support for automated tracing , 2007, ASE '07.
[12] Nan Niu,et al. Enhancing candidate link generation for requirements tracing: The cluster hypothesis revisited , 2012, 2012 20th IEEE International Requirements Engineering Conference (RE).
[13] Jane Huffman Hayes,et al. Humans in the traceability loop: can't live with 'em, can't live without 'em , 2005, TEFSE '05.
[14] Rachel K. E. Bellamy,et al. Reactive information foraging for evolving goals , 2010, CHI.
[15] Genny Tortora,et al. Recovering traceability links in software artifact management systems using information retrieval methods , 2007, TSEM.
[16] Rachel K. E. Bellamy,et al. Using information scent to model the dynamic foraging behavior of programmers in maintenance tasks , 2008, CHI.
[17] Jane Huffman Hayes,et al. A Framework for Comparing Requirements Tracing Experiments , 2005, Int. J. Softw. Eng. Knowl. Eng..
[18] Stefan Biffl,et al. Value-Based Requirements Traceability: Lessons Learned , 2007, 15th IEEE International Requirements Engineering Conference (RE 2007).
[19] Genny Tortora,et al. IR-Based Traceability Recovery Processes: An Empirical Comparison of "One-Shot" and Incremental Processes , 2008, 2008 23rd IEEE/ACM International Conference on Automated Software Engineering.
[20] Jane Huffman Hayes,et al. Application of swarm techniques to requirements tracing , 2011, Requirements Engineering.
[21] Andrea De Lucia,et al. On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery , 2010, 2010 IEEE 18th International Conference on Program Comprehension.
[22] John R. Anderson. The Adaptive Character of Thought , 1990 .
[23] Pattie Maes,et al. Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.
[24] Brad A. Myers,et al. An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks , 2006, IEEE Transactions on Software Engineering.
[25] Jane Huffman Hayes,et al. Towards overcoming human analyst fallibility in the requirements tracing process: NIER track , 2011, 2011 33rd International Conference on Software Engineering (ICSE).
[26] Ed H. Chi,et al. Using information scent to model user information needs and actions and the Web , 2001, CHI.
[27] Jane Huffman Hayes,et al. How do we trace requirements: an initial study of analyst behavior in trace validation tasks , 2011, CHASE.
[28] Stephen Clark,et al. Best Practices for Automated Traceability , 2007, Computer.
[29] P. Pirolli,et al. Spread of activation. , 1984 .
[30] Amanda Spink,et al. Real life information retrieval: a study of user queries on the Web , 1998, SIGF.
[31] Nan Niu,et al. Information foraging as a foundation for code navigation: NIER track , 2011, 2011 33rd International Conference on Software Engineering (ICSE).
[32] Jane Cleland-Huang,et al. Improving automated requirements trace retrieval: a study of term-based enhancement methods , 2010, Empirical Software Engineering.
[33] Pamela Effrein Sandstrom,et al. Information Foraging Theory: Adaptive Interaction with Information , 2010, J. Assoc. Inf. Sci. Technol..
[34] Marti A. Hearst. Search User Interfaces , 2009 .
[35] H. Schütze,et al. Dimensions of meaning , 1992, Supercomputing '92.
[36] David J. Groggel,et al. Practical Nonparametric Statistics , 2000, Technometrics.
[37] Juha Savolainen,et al. A Framework for Examining Topical Locality in Object-Oriented Software , 2012, 2012 IEEE 36th Annual Computer Software and Applications Conference.
[38] Christopher D. Manning,et al. Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..
[39] John C. Grundy,et al. Improving automated documentation to code traceability by combining retrieval techniques , 2011, 2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011).
[40] Jane Cleland-Huang,et al. Poirot: A Distributed Tool Supporting Enterprise-Wide Automated Traceability , 2006, 14th IEEE International Requirements Engineering Conference (RE'06).
[41] Nan Niu,et al. TraCter: A tool for candidate traceability link clustering , 2011, 2011 IEEE 19th International Requirements Engineering Conference.
[42] Rachel K. E. Bellamy,et al. Modeling programmer navigation: A head-to-head empirical evaluation of predictive models , 2011, 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).