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Travelled to:
1 × Cyprus
1 × France
1 × Germany
1 × India
1 × Portugal
1 × South Africa
1 × Switzerland
1 × The Netherlands
2 × Italy
3 × Canada
6 × USA
Collaborated with:
M.Lanza M.D'Ambros A.A.Sawant L.Ponzanelli F.Palomba A.v.Deursen R.Robbes C.Bird M.Castelluccio A.Guzzi A.Mocci L.Hattori M.Duijn A.Kucera S.Ercan Q.Stokkink V.Hellendoorn P.T.Devanbu R.Slag M.d.Waard V.Humpa V.Kovalenko D.Spadini M.F.Aniche Y.Riche J.Goderie B.M.Georgsson B.v.Graafeiland M.Beller A.Zaidman E.Jürgens T.D.Sasso A.Cleve M.Lungu C.Vassallo H.C.Gall A.Ram M.Eck M.Dias G.Gousios D.Cassou S.Ducasse D.Fullerton F.Rigotti M.Pinzger L.Cerulo M.D.Penta M.Ceccarelli G.Canfora S.Oosterwaal R.Coelho E.Hill D.Binkley B.Dit D.Lawrie R.Oliveto
Talks about:
code (16) overflow (7) stack (7) develop (5) review (5) sourc (5) mail (5) softwar (4) qualiti (4) chang (4)

♂ Person: Alberto Bacchelli

DBLP DBLP: Bacchelli:Alberto

Facilitated 8 volumes:

MSR 2015PrCo
SANER 2015PrCo
CSMR-WCRE 2014PrCo
MSR 2014PrCo
MSR 2013ChaCh
WCRE 2013PrCo
MSR 2012WebCh
MSR 2011ChaCo

Contributed to:

CSCW 20152015
MSR 20152015
SANER 20152015
ICSME 20142014
MSR 20142014
CSMR 20132013
ICPC 20132013
ICSE 20132013
ICSM 20132013
MSR 20132013
SCAM 20132015
ICSE 20122012
ASE 20112011
CSEE&T 20112011
CSMR 20112011
ICSE 20112011
FASE 20102010
ICPC 20102010
ICSE 20102010
WCRE 20092009
FSE 20162016
ASE 20182018
ESEC/FSE 20182018
ESEC/FSE 20192019

Wrote 33 papers:

CSCW-2015-GuzziBRD #coordination #developer #ide
Supporting Developers’ Coordination in the IDE (AG, AB, YR, AvD), pp. 518–532.
MSR-2015-DuijnKB #quality #stack overflow
Quality Questions Need Quality Code: Classifying Code Fragments on Stack Overflow (MD, AK, AB), pp. 410–413.
MSR-2015-ErcanSB #automation #predict #stack overflow
Automatic Assessments of Code Explanations: Predicting Answering Times on Stack Overflow (SE, QS, AB), pp. 442–445.
MSR-2015-GoderieGGB #named #predict #stack overflow
ETA: Estimated Time of Answer Predicting Response Time in Stack Overflow (JG, BMG, BvG, AB), pp. 414–417.
MSR-2015-HellendoornDB #modelling
Will They Like This? Evaluating Code Contributions with Language Models (VH, PTD, AB), pp. 157–167.
MSR-2015-SawantB #api #dataset
A Dataset for API Usage (AAS, AB), pp. 506–509.
MSR-2015-SlagWB #stack overflow #why
One-Day Flies on StackOverflow — Why the Vast Majority of StackOverflow Users Only Posts Once (RS, MdW, AB), pp. 458–461.
SANER-2015-DiasBGCD #fine-grained
Untangling fine-grained code changes (MD, AB, GG, DC, SD), pp. 341–350.
ICSME-2014-PonzanelliMBLF #detection #quality #stack overflow
Improving Low Quality Stack Overflow Post Detection (LP, AM, AB, ML, DF), pp. 541–544.
MSR-2014-BellerBZJ #code review #open source #problem #question
Modern code reviews in open-source projects: which problems do they fix? (MB, AB, AZ, EJ), pp. 202–211.
CSMR-2013-PonzanelliBL #comprehension #development
Leveraging Crowd Knowledge for Software Comprehension and Development (LP, AB, ML), pp. 57–66.
ICPC-2013-LanzaDBHR #named #process #realtime #visual notation
Manhattan: Supporting real-time visual team activity awareness (ML, MD, AB, LH, FR), pp. 207–210.
ICSE-2013-BacchelliB #challenge #code review #overview #perspective
Expectations, outcomes, and challenges of modern code review (AB, CB), pp. 712–721.
ICSE-2013-PonzanelliBL #ide #named #stack overflow
Seahawk: stack overflow in the IDE (LP, AB, ML), pp. 1295–1298.
ICSM-2013-HillBBDLO #feature model #question
Which Feature Location Technique is Better? (EH, AB, DB, BD, DL, RO), pp. 408–411.
MSR-2013-GuzziBLPD #communication #development #open source
Communication in open source software development mailing lists (AG, AB, ML, MP, AvD), pp. 277–286.
SCAM-J-2013-CeruloPBCC15 #detection #markov #named
Irish: A Hidden Markov Model to detect coded information islands in free text (LC, MDP, AB, MC, GC), pp. 26–43.
ICSE-2012-BacchelliSDL #classification #development #email
Content classification of development emails (AB, TDS, MD, ML), pp. 375–385.
ASE-2011-BacchelliCLM #documentation #natural language #semiparsing
Extracting structured data from natural language documents with island parsing (AB, AC, ML, AM), pp. 476–479.
CSEET-2011-HattoriBLL #game studies #learning
Erase and rewind — Learning by replaying examples (LH, AB, ML, ML), p. 558.
CSMR-2011-BacchelliLH #comprehension
RTFM (Read the Factual Mails) — Augmenting Program Comprehension with Remail (AB, ML, VH), pp. 15–24.
ICSE-2011-Bacchelli #email #re-engineering
Exploring, exposing, and exploiting emails to include human factors in software engineering (AB), pp. 1074–1077.
ICSE-2011-BacchelliLD #email #named #tool support
Miler: a toolset for exploring email data (AB, ML, MD), pp. 1025–1027.
FASE-2010-BacchelliDL #fault #question
Are Popular Classes More Defect Prone? (AB, MD, ML), pp. 59–73.
ICPC-2010-BacchelliDL #source code
Extracting Source Code from E-Mails (AB, MD, ML), pp. 24–33.
ICSE-2010-BacchelliLR #source code
Linking e-mails and source code artifacts (AB, ML, RR), pp. 375–384.
WCRE-1999-BacchelliDLR99a #benchmark #lightweight #metric #source code
Benchmarking Lightweight Techniques to Link E-Mails and Source Code (AB, MD, ML, RR), pp. 205–214.
FSE-2016-OosterwaalDCSB #code review #overview #perspective #visualisation
Visualizing code and coverage changes for code review (SO, AvD, RC, AAS, AB), pp. 1038–1041.
ASE-2018-KovalenkoPB #branch #mining #question
Mining file histories: should we consider branches? (VK, FP, AB), pp. 202–213.
ASE-2018-VassalloPBG #quality #question
Continuous code quality: are we (really) doing that? (CV, FP, AB, HCG), pp. 790–795.
ESEC-FSE-2018-RamSCB #empirical #overview #what
What makes a code change easier to review: an empirical investigation on code change reviewability (AR, AAS, MC, AB), pp. 201–212.
ESEC-FSE-2018-SpadiniAB #framework #mining #named #python #repository
PyDriller: Python framework for mining software repositories (DS, MFA, AB), pp. 908–911.
ESEC-FSE-2019-EckPCB #comprehension #developer #perspective #testing
Understanding flaky tests: the developer's perspective (ME, FP, MC, AB), pp. 830–840.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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