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Open Knowledge
XHTML 1.0 W3C Rec
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Travelled to:
1 × Belgium
1 × India
1 × South Africa
1 × Sweden
1 × USA
2 × Canada
3 × Italy
Collaborated with:
A.E.Hassan Y.Kamei B.Adams A.Ihara K.Yamashita N.Ubayashi M.Nagappan B.Ghotra R.Morales F.Khomh K.Legere P.Thongtanunam H.Iida K.Gallaba C.Macho M.P.0001 T.Hirao K.Matsumoto C.Tantithamthavorn K.Matsumoto X.Xia D.Lo E.Shihab D.A.d.Costa S.L.Abebe U.Kulesza T.Fukushima T.H.D.Nguyen S.v.d.Burg E.Dolstra J.Davies D.M.Germán A.Hemel R.Robbes É.Tanter A.Mockus
Talks about:
studi (9) empir (7) build (7) project (6) review (6) code (6) predict (4) impact (4) defect (4) chang (4)

♂ Person: Shane McIntosh

DBLP DBLP: McIntosh:Shane

Facilitated 0 volumes:

Contributed to:

ESEC/FSE 20152015
ICSE 20152015
MSR 20152015
SANER 20152015
ASE 20142014
CSMR-WCRE 20142014
ICSME 20142014
MSR 20142014
ICSE 20112011
MSR 20102010
ASE 20182018
ESEC/FSE 20192019

Wrote 18 papers:

ESEC-FSE-2015-NagappanRKTMMH #c #empirical #git #goto #repository
An empirical study of goto in C code from GitHub repositories (MN, RR, YK, ÉT, SM, AM, AEH), pp. 404–414.
ICSE-v1-2015-GhotraMH #classification #fault #modelling #performance #predict
Revisiting the Impact of Classification Techniques on the Performance of Defect Prediction Models (BG, SM, AEH), pp. 789–800.
ICSE-v1-2015-Tantithamthavorn #fault #modelling #performance #predict
The Impact of Mislabelling on the Performance and Interpretation of Defect Prediction Models (CT, SM, AEH, AI, KiM), pp. 812–823.
MSR-2015-ThongtanunamMHI #code review #empirical #overview
Investigating Code Review Practices in Defective Files: An Empirical Study of the Qt System (PT, SM, AEH, HI), pp. 168–179.
SANER-2015-MoralesMK #case study #code review #design #overview #quality
Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects (RM, SM, FK), pp. 171–180.
SANER-2015-XiaLMSH #co-evolution #predict
Cross-project build co-change prediction (XX, DL, SM, ES, AEH), pp. 311–320.
ASE-2014-BurgDMDGH #consistency #nondeterminism #process
Tracing software build processes to uncover license compliance inconsistencies (SvdB, ED, SM, JD, DMG, AH), pp. 731–742.
CSMR-WCRE-2014-McIntoshLH #evolution #representation
Orchestrating change: An artistic representation of software evolution (SM, KL, AEH), pp. 348–352.
ICSME-2014-CostaAMKH #empirical #integration
An Empirical Study of Delays in the Integration of Addressed Issues (DAdC, SLA, SM, UK, AEH), pp. 281–290.
ICSME-2014-McIntoshANH #co-evolution #mining
Mining Co-change Information to Understand When Build Changes Are Necessary (SM, BA, MN, AEH), pp. 241–250.
MSR-2014-FukushimaKMYU #empirical #fault #modelling #predict #using
An empirical study of just-in-time defect prediction using cross-project models (TF, YK, SM, KY, NU), pp. 172–181.
MSR-2014-McIntoshKAH #case study #code review #overview #quality
The impact of code review coverage and code review participation on software quality: a case study of the qt, VTK, and ITK projects (SM, YK, BA, AEH), pp. 192–201.
Magnet or sticky? an OSS project-by-project typology (KY, SM, YK, NU), pp. 344–347.
ICSE-2011-McIntosh #maintenance
Build system maintenance (SM), pp. 1167–1169.
ICSE-2011-McIntoshANKH #empirical #maintenance
An empirical study of build maintenance effort (SM, BA, THDN, YK, AEH), pp. 141–150.
MSR-2010-McIntoshAH #evolution
The evolution of ANT build systems (SM, BA, AEH), pp. 42–51.
ASE-2018-GallabaM0M #empirical
Noise and heterogeneity in historical build data: an empirical study of Travis CI (KG, CM, MP0, SM), pp. 87–97.
ESEC-FSE-2019-HiraoMIM #approach #code review #empirical #graph #overview
The review linkage graph for code review analytics: a recovery approach and empirical study (TH, SM, AI, KM), pp. 578–589.

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.