BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × France
1 × Germany
1 × India
1 × Italy
1 × Luxembourg
1 × Sweden
1 × The Netherlands
2 × USA
4 × Canada
Collaborated with:
M.D.Penta G.Canfora R.Oliveto H.C.Gall A.D.Lucia A.Panichella G.Bavota A.D.Sorbo C.A.Visaggio G.Antoniol G.Capobianco E.Guzman C.V.Alexandru V.Arnaoudova C.Vassallo G.Schermann M.Brandtner P.Leitner S.Giannantonio J.Aponte A.Marcus N.Tsantalis José J. Merchante S.Proksch G.Robles J.Shimagaki
Talks about:
develop (9) code (7) sourc (5) softwar (4) project (4) review (4) chang (4) app (4) traceabl (3) recoveri (3)

Person: Sebastiano Panichella

DBLP DBLP: Panichella:Sebastiano

Contributed to:

ICPC 20152015
ICSME 20152015
SANER 20152015
ASE 20142014
ICPC 20142014
ICSME 20142014
ICSE 20132013
ICSM 20132013
ICST 20132013
FSE 20122012
ICPC 20122012
ICPC 20112011
ICPC 20092009
WCRE 20092009
ASE 20152015
FSE 20162016
Onward! 20182018

Wrote 22 papers:

ICPC-2015-SchermannBPLG #commit
Discovering loners and phantoms in commit and issue data (GS, MB, SP, PL, HCG), pp. 4–14.
ICSME-2015-Panichella #development
Supporting newcomers in software development projects (SP), pp. 586–589.
ICSME-2015-PanichellaSGVCG #evolution #how #maintenance
How can i improve my app? Classifying user reviews for software maintenance and evolution (SP, ADS, EG, CAV, GC, HCG), pp. 281–290.
SANER-2015-PanichellaAPA #code review #developer #question #static analysis #tool support
Would static analysis tools help developers with code reviews? (SP, VA, MDP, GA), pp. 161–170.
ASE-2014-BavotaPTPOC #recommendation #refactoring
Recommending refactorings based on team co-maintenance patterns (GB, SP, NT, MDP, RO, GC), pp. 337–342.
ICPC-2014-PanichellaCPO #empirical #evolution #how
How the evolution of emerging collaborations relates to code changes: an empirical study (SP, GC, MDP, RO), pp. 177–188.
ICPC-2014-VassalloPPC #developer #mining #named #source code
CODES: mining source code descriptions from developers discussions (CV, SP, MDP, GC), pp. 106–109.
ICSME-2014-PanichellaBPCA #developer #how
How Developers’ Collaborations Identified from Different Sources Tell Us about Code Changes (SP, GB, MDP, GC, GA), pp. 251–260.
ICSE-2013-CanforaPGOP #developer #named
YODA: young and newcomer developer assistant (GC, MDP, SG, RO, SP), pp. 1331–1334.
ICSM-2013-BavotaCPOP #documentation #empirical #maintenance
An Empirical Investigation on Documentation Usage Patterns in Maintenance Tasks (GB, GC, MDP, RO, SP), pp. 210–219.
ICSM-2013-BavotaCPOP13a #ecosystem #evolution
The Evolution of Project Inter-dependencies in a Software Ecosystem: The Case of Apache (GB, GC, MDP, RO, SP), pp. 280–289.
ICST-2013-CanforaLPOPP #fault #multi #predict
Multi-objective Cross-Project Defect Prediction (GC, ADL, MDP, RO, AP, SP), pp. 252–261.
FSE-2012-CanforaPOP #open source #question
Who is going to mentor newcomers in open source projects? (GC, MDP, RO, SP), p. 44.
ICPC-2012-LuciaPOPP #information retrieval #question #source code #using
Using IR methods for labeling source code artifacts: Is it worthwhile? (ADL, MDP, RO, AP, SP), pp. 193–202.
ICPC-2012-PanichellaAPMC #developer #mining #source code
Mining source code descriptions from developer communications (SP, JA, MDP, AM, GC), pp. 63–72.
ICPC-2011-LuciaPOPP #traceability #using
Improving IR-based Traceability Recovery Using Smoothing Filters (ADL, MDP, RO, AP, SP), pp. 21–30.
ICPC-2009-CapobiancoLOPP #on the #traceability
On the role of the nouns in IR-based traceability recovery (GC, ADL, RO, AP, SP), pp. 148–157.
WCRE-1999-CapobiancoLOPP99a #analysis #traceability #using
Traceability Recovery Using Numerical Analysis (GC, ADL, RO, AP, SP), pp. 195–204.
ASE-2015-SorboPVPCG #developer #development #email #mining
Development Emails Content Analyzer: Intention Mining in Developer Discussions (T) (ADS, SP, CAV, MDP, GC, HCG), pp. 12–23.
FSE-2016-PanichellaSGVCG #classification #development #named
ARdoc: app reviews development oriented classifier (SP, ADS, EG, CAV, GC, HCG), pp. 1023–1027.
FSE-2016-SorboPASVCG #recommendation #what
What would users change in my app? summarizing app reviews for recommending software changes (ADS, SP, CVA, JS, CAV, GC, HCG), pp. 499–510.
Onward-2018-AlexandruMPPGR #on the
On the usage of pythonic idioms (CVA, JJM, SP, SP, HCG, GR), pp. 1–11.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.