Travelled to:
1 × France
1 × South Africa
1 × Switzerland
2 × Germany
2 × The Netherlands
3 × Canada
3 × Italy
4 × USA
Collaborated with:
A.Marcus ∅ G.Bavota R.Oliveto A.D.Lucia S.L.Abebe P.Tonella L.Moreno J.Aponte G.Antoniol T.Menzies J.Escobar-Avila M.L.Vásquez V.Arnaoudova W.Bandara G.Gay G.D.Rosa M.D.Penta B.Russo
Talks about:
softwar (8) queri (8) sourc (7) code (7) retriev (6) text (6) engin (5) use (5) concept (4) locat (4)
♀ Person: Sonia Haiduc
DBLP: Haiduc:Sonia
Facilitated 7 volumes:
Contributed to:
Wrote 18 papers:
- ESEC-FSE-2015-MorenoBHPORM #re-engineering #retrieval
- Query-based configuration of text retrieval solutions for software engineering tasks (LM, GB, SH, MDP, RO, BR, AM), pp. 567–578.
- ICPC-2015-Escobar-AvilaVH #bytecode #categorisation #using
- Unsupervised software categorization using bytecode (JEA, MLV, SH), pp. 229–239.
- ICSE-v2-2015-ArnaoudovaHMA #natural language #re-engineering #retrieval #using
- The Use of Text Retrieval and Natural Language Processing in Software Engineering (VA, SH, AM, GA), pp. 949–950.
- ICSME-2014-Haiduc #query #re-engineering #retrieval
- Supporting Query Formulation for Text Retrieval Applications in Software Engineering (SH), pp. 657–662.
- ICSE-2013-HaiducBMOLM #automation #query #re-engineering #retrieval
- Automatic query reformulations for text retrieval in software engineering (SH, GB, AM, RO, ADL, TM), pp. 842–851.
- ICSE-2013-HaiducRBOLM #code search #predict #quality #query #source code
- Query quality prediction and reformulation for source code search: the refoqus tool (SH, GDR, GB, RO, ADL, AM), pp. 1307–1310.
- ICSM-2013-MorenoBHM #debugging #on the #source code
- On the Relationship between the Vocabulary of Bug Reports and Source Code (LM, WB, SH, AM), pp. 452–455.
- ASE-2012-HaiducBOLM #assessment #automation #performance #query #retrieval
- Automatic query performance assessment during the retrieval of software artifacts (SH, GB, RO, ADL, AM), pp. 90–99.
- ICSE-2012-HaiducBOML #query #re-engineering #retrieval
- Evaluating the specificity of text retrieval queries to support software engineering tasks (SH, GB, RO, AM, ADL), pp. 1273–1276.
- ASE-2011-Haiduc #automation #concept #detection #quality #query
- Automatically detecting the quality of the query and its implications in IR-based concept location (SH), pp. 637–640.
- ICPC-2011-HaiducM #concept #on the #query
- On the Effect of the Query in IR-based Concept Location (SH, AM), pp. 234–237.
- SCAM-2011-AbebeHTM #concept #smell #source code
- The Effect of Lexicon Bad Smells on Concept Location in Source Code (SLA, SH, PT, AM), pp. 125–134.
- ICSE-2010-HaiducAM #comprehension #source code #summary
- Supporting program comprehension with source code summarization (SH, JA, AM), pp. 223–226.
- WCRE-2010-HaiducAMM #automation #on the #source code #summary #using
- On the Use of Automated Text Summarization Techniques for Summarizing Source Code (SH, JA, LM, AM), pp. 35–44.
- CSMR-2009-AbebeHMTA #evolution #source code
- Analyzing the Evolution of the Source Code Vocabulary (SLA, SH, AM, PT, GA), pp. 189–198.
- ICSM-2009-GayHMM #concept #feedback #on the #using
- On the use of relevance feedback in IR-based concept location (GG, SH, AM, TM), pp. 351–360.
- ICPC-2008-HaiducM #on the #source code #using
- On the Use of Domain Terms in Source Code (SH, AM), pp. 113–122.
- WCRE-1999-AbebeHTM99a #smell
- Lexicon Bad Smells in Software (SLA, SH, PT, AM), pp. 95–99.