BibSLEIGH — Shane

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: McIntosh:Shane

Facilitated 0 volumes:

Contributed to:

2015

2014

2011

2010

2018

2019

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.
MSR-2014-YamashitaMKU: 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.