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Travelled to:
1 × Austria
1 × Canada
1 × Hungary
1 × India
1 × South Africa
1 × Spain
1 × The Netherlands
1 × United Kingdom
2 × China
2 × France
2 × Switzerland
3 × Germany
4 × Italy
6 × USA
Collaborated with:
T.Zimmermann B.Murphy C.Bird T.Ball P.J.Guo K.Herzig Thomas Zimmermann 0001 H.Gall E.R.Murphy-Hill L.A.Williams D.Lo J.Czerwonka P.T.Devanbu M.Kim M.Pinzger V.R.Basili G.S.Walia J.C.Carver A.Zeller C.S.Maddila C.Bansal G.K.Cheung Ryan Cooper Dan Greenawalt Tyson Solberg K.Muslu A.Hindle K.Hullett E.Schuh J.Hopson M.Sherriff M.A.Vouk P.S.Kochhar F.Thung B.Ray M.Nagappan J.Huang C.Harrison B.C.Phillips E.Kocaguneli T.Menzies R.Das A.Tarvo A.Teterev R.Premraj L.Williams E.Giger L.Layman S.Guckenheimer J.Beehler A.Begel P.L.Li R.Kivett Z.Zhan S.Jeon A.J.Ko Thomas Debeauvais Kevin Carter E.Harpstead Jose J. Guajardo
Talks about:
softwar (11) predict (10) develop (9) studi (8) empir (7) defect (6) analysi (5) data (5) bug (5) qualiti (4)

♂ Person: Nachiappan Nagappan

DBLP DBLP: Nagappan:Nachiappan

Facilitated 2 volumes:

MSR 2010PrCo
MSR 2009PrCo

Contributed to:

ESEC/FSE 20152015
ICSE 20152015
ICST 20152015
MSR 20152015
ICSE 20142014
CHI 20132013
ICSE 20132013
FSE 20122012
ICSE 20122012
ICSM 20122012
MSR 20122012
CSCW 20112011
ESEC/FSE 20112011
ICSE 20112011
ICST 20112011
ICSE 20102010
ICST 20102010
TAP 20102010
ESEC/FSE 20092009
ICSE 20092009
FSE 20082008
ICSE 20082008
MSR 20082008
ICSE 20062006
A-MOST 20052005
ICSE 20052005
ICSE 20042004
ESEC/FSE 20192019
CHI PLAY 20142014
FDG 20142014
CHI PLAY 20152015

Wrote 39 papers:

ESEC-FSE-2015-LoNZ #how #re-engineering #research
How practitioners perceive the relevance of software engineering research (DL, NN, TZ), pp. 415–425.
ICSE-v2-2015-HerzigN #detection #empirical #using
Empirically Detecting False Test Alarms Using Association Rules (KH, NN), pp. 39–48.
ICST-2015-KochharTNZL #automation #comprehension #developer #testing
Understanding the Test Automation Culture of App Developers (PSK, FT, NN, TZ, DL), pp. 1–10.
MSR-2015-RayNBNZ
The Uniqueness of Changes: Characteristics and Applications (BR, MN, CB, NN, TZ), pp. 34–44.
ICSE-2014-Murphy-HillZN #development #game studies #how #quality #question #video
Cowboys, ankle sprains, and keepers of quality: how is video game development different from software development? (ERMH, TZ, NN), pp. 1–11.
ICSE-2014-MusluBNC #case study #distributed #version control
Transition from centralized to decentralized version control systems: a case study on reasons, barriers, and outcomes (KM, CB, NN, JC), pp. 334–344.
CHI-2013-HuangZNHP #how
Mastering the art of war: how patterns of gameplay influence skill in Halo (JH, TZ, NN, CH, BCP), pp. 695–704.
ICSE-2013-KocaguneliZBNM #development #distributed #harmful #question
Distributed development considered harmful? (EK, TZ, CB, NN, TM), pp. 882–890.
ICSE-2013-Murphy-HillZBN #debugging #design
The design of bug fixes (ERMH, TZ, CB, NN), pp. 332–341.
FSE-2012-KimZN #case study #challenge #refactoring
A field study of refactoring challenges and benefits (MK, TZ, NN), p. 50.
ICSE-2012-ZimmermannNGM #debugging #predict
Characterizing and predicting which bugs get reopened (TZ, NN, PJG, BM), pp. 1074–1083.
ICSM-2012-HindleBZN #analysis #developer #implementation #question #requirements #topic
Relating requirements to implementation via topic analysis: Do topics extracted from requirements make sense to managers and developers? (AH, CB, TZ, NN), pp. 243–252.
MSR-2012-BirdN #development #distributed #open source #scalability #what
Who? Where? What? Examining distributed development in two large open source projects (CB, NN), pp. 237–246.
CSCW-2011-BirdMNZ #empirical #re-engineering #research
Empirical software engineering at Microsoft Research (CB, BM, NN, TZ), pp. 143–150.
CSCW-2011-GuoZNM #debugging #exclamation
“Not my bug!” and other reasons for software bug report reassignments (PJG, TZ, NN, BM), pp. 395–404.
ESEC-FSE-2011-BirdNMGD #exclamation #quality
Don’t touch my code!: examining the effects of ownership on software quality (CB, NN, BM, HG, PTD), pp. 4–14.
ICSE-2011-HullettNSH #data analysis #development #game studies
Data analytics for game development (KH, NN, ES, JH), pp. 940–943.
ICSE-2011-LiKZJNMK #difference
Characterizing the differences between pre- and post- release versions of software (PLL, RK, ZZ, SeJ, NN, BM, AJK), pp. 716–725.
ICST-2011-CzerwonkaDNTT #analysis #case study #experience #named #predict
CRANE: Failure Prediction, Change Analysis and Test Prioritization in Practice — Experiences from Windows (JC, RD, NN, AT, AT), pp. 357–366.
ICST-2011-ZimmermannNHPW #dependence #empirical
An Empirical Study on the Relation between Dependency Neighborhoods and Failures (TZ, NN, KH, RP, LW), pp. 347–356.
ICSE-2010-GuoZNM #debugging #empirical #predict
Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows (PJG, TZ, NN, BM), pp. 495–504.
ICST-2010-ZimmermannNW #predict #security
Searching for a Needle in a Haystack: Predicting Security Vulnerabilities for Windows Vista (TZ, NN, LAW), pp. 421–428.
TAP-2010-Nagappan #re-engineering
Myths in Software Engineering: From the Other Side (NN), pp. 3–5.
ESEC-FSE-2009-ZimmermannNGGM #empirical #fault #predict #process #scalability
Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (TZ, NN, HG, EG, BM), pp. 91–100.
ICSE-2009-BirdNDGM #case study #development #distributed #empirical #quality
Does distributed development affect software quality? An empirical case study of Windows Vista (CB, NN, PTD, HG, BM), pp. 518–528.
FSE-2008-PinzgerNM #developer #network #predict #question
Can developer-module networks predict failures? (MP, NN, BM), pp. 2–12.
ICSE-2008-NagappanMB #case study #empirical #quality
The influence of organizational structure on software quality: an empirical case study (NN, BM, VRB), pp. 521–530.
ICSE-2008-WaliaCN #fault #modelling
The effect of the number of inspectors on the defect estimates produced by capture-recapture models (GSW, JCC, NN), pp. 331–340.
ICSE-2008-ZimmermannN #analysis #dependence #fault #graph #network #predict #using
Predicting defects using network analysis on dependency graphs (TZ, NN), pp. 531–540.
MSR-2008-LaymanNGBB #analysis #mining #visual notation
Mining software effort data: preliminary analysis of visual studio team system data (LL, NN, SG, JB, AB), pp. 43–46.
ICSE-2006-NagappanBZ #component #metric #mining #predict
Mining metrics to predict component failures (NN, TB, AZ), pp. 452–461.
A-MOST-2005-SherriffNWV #estimation #fault #haskell #metric #using
Early estimation of defect density using an in-process Haskell metrics model (MS, NN, LAW, MAV), pp. 64–69.
ICSE-2005-NagappanB #fault #metric #predict #using
Use of relative code churn measures to predict system defect density (NN, TB), pp. 284–292.
ICSE-2005-NagappanB05a #fault #static analysis #tool support
Static analysis tools as early indicators of pre-release defect density (NN, TB), pp. 580–586.
ICSE-2004-Nagappan #metric #reliability #testing #towards
Toward a Software Testing and Reliability Early Warning Metric Suite (NN), pp. 60–62.
ESEC-FSE-2019-MaddilaBN #case study #predict #scalability
Predicting pull request completion time: a case study on large scale cloud services (CSM, CB, NN), pp. 874–882.
CHI-PLAY-2014-CheungZN #experience #game studies #how
The first hour experience: how the initial play can engage (or lose) new players (GKC, TZ0, NN), pp. 57–66.
FDG-2014-Debeauvais0NCCG #empirical
Off with their assists: An empirical study of driving skill in Forza Motorsport 4 (TD, TZ0, NN, KC, RC, DG, TS).
CHI-PLAY-2015-HarpsteadZNGCSG #game studies #people #what
What Drives People: Creating Engagement Profiles of Players from Game Log Data (EH, TZ0, NN, JJG, RC, TS, DG), pp. 369–379.

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