Travelled to:1 × Belgium
1 × Germany
1 × Ireland
2 × The Netherlands
3 × Canada
7 × USA
Collaborated with:L.L.Pollock E.Hill G.Sridhara X.Wang S.Gupta D.C.Shepherd L.Moreno A.Marcus K.Samuel S.Carberry Z.P.Fry S.Malik D.Shepherd M.J.Howard E.Enslen D.Binkley D.Lawrie D.Muppaneni J.Aponte K.Maloor H.Boyd Y.Novikova
Talks about:automat (9) softwar (7) code (6) program (5) languag (5) method (5) natur (5) identifi (4) summari (4) generat (4)
Person: K. Vijay-Shanker
DBLP: Vijay-Shanker:K=
Contributed to:
2015
20132013
2013
20112011
2011
2011201020092009200820082007
2007
1998Wrote 20 papers:
- ICSME-2015-WangPV #corpus #mining #scalability
- Developing a model of loop actions by mining loop characteristics from a large code corpus (XW, LLP, KVS), pp. 51–60.
- ICPC-2013-GuptaMPV #identifier #re-engineering #tool support
- Part-of-speech tagging of program identifiers for improved text-based software engineering tools (SG, SM, LLP, KVS), pp. 3–12.
- ICPC-2013-MorenoASMPV #automation #generative #java #natural language #summary
- Automatic generation of natural language summaries for Java classes (LM, JA, GS, AM, LLP, KVS), pp. 23–32.
- ICPC-2013-MorenoMPV #automation #generative #java #named #natural language #summary
- JSummarizer: An automatic generator of natural language summaries for Java classes (LM, AM, LLP, KVS), pp. 230–232.
- ICSM-2013-HillSPV
- Differentiating Roles of Program Elements in Action-Oriented Concerns (EH, DS, LLP, KVS), pp. 376–379.
- MSR-2013-BinkleyLPHV #dataset #identifier
- A dataset for evaluating identifier splitters (DB, DL, LLP, EH, KVS), pp. 401–404.
- MSR-2013-HowardGPV #automation #mining #semantics #word
- Automatically mining software-based, semantically-similar words from comment-code mappings (MJH, SG, LLP, KVS), pp. 377–386.
- ASE-2011-HillPV #code search #natural language #source code
- Improving source code search with natural language phrasal representations of method signatures (EH, LLP, KVS), pp. 524–527.
- ICPC-2011-SridharaPV #generative #parametricity #summary
- Generating Parameter Comments and Integrating with Method Summaries (GS, LLP, KVS), pp. 71–80.
- ICSE-2011-SridharaPV #automation #detection
- Automatically detecting and describing high level actions within methods (GS, LLP, KVS), pp. 101–110.
- WCRE-2011-WangPV #automation #readability #segmentation
- Automatic Segmentation of Method Code into Meaningful Blocks to Improve Readability (XW, LLP, KVS), pp. 35–44.
- ASE-2010-SridharaHMPV #automation #generative #java #summary #towards
- Towards automatically generating summary comments for Java methods (GS, EH, DM, LLP, KVS), pp. 43–52.
- ICSE-2009-HillPV #automation #maintenance #reuse #source code
- Automatically capturing source code context of NL-queries for software maintenance and reuse (EH, LLP, KVS), pp. 232–242.
- MSR-2009-EnslenHPV #analysis #automation #identifier #mining #source code
- Mining source code to automatically split identifiers for software analysis (EE, EH, LLP, KVS), pp. 71–80.
- ICPC-2008-SridharaHPV #case study #comparative #identification #semantics #similarity #tool support #word
- Identifying Word Relations in Software: A Comparative Study of Semantic Similarity Tools (GS, EH, LLP, KVS), pp. 123–132.
- MSR-2008-HillFBSNPV #automation #maintenance #mining #named #source code #tool support
- AMAP: automatically mining abbreviation expansions in programs to enhance software maintenance tools (EH, ZPF, HB, GS, YN, LLP, KVS), pp. 79–88.
- ASE-2007-HillPV #maintenance
- Exploring the neighborhood with dora to expedite software maintenance (EH, LLP, KVS), pp. 14–23.
- PASTE-2007-PollockVSHFM #natural language #program analysis
- Introducing natural language program analysis (LLP, KVS, DCS, EH, ZPF, KM), pp. 15–16.
- PASTE-2007-ShepherdPV #case study #natural language #program analysis #reverse engineering
- Case study: supplementing program analysis with natural language analysis to improve a reverse engineering task (DCS, LLP, KVS), pp. 49–54.
- ICML-1998-SamuelCV #learning
- An Investigation of Transformation-Based Learning in Discourse (KS, SC, KVS), pp. 497–505.