BibSLEIGH
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Open Knowledge
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Used together with:
develop (9)
project (8)
list (5)
mail (5)
what (3)

Stem oss$ (all stems)

23 papers:

ICEISICEIS-v2-2015-FariasNOCM #case study #commit #email #mining #repository
Analyzing Distributions of Emails and Commits from OSS Contributors through Mining Software Repositories — An Exploratory Study (MAdFF, RLN, PO, MCJ, MGM), pp. 303–310.
SEKESEKE-2015-DingLTV #architecture #communication #empirical
Causes of Architecture Changes: An Empirical Study through the Communication in OSS Mailing Lists (WD, PL, AT, HvV), pp. 403–408.
MSRMSR-2014-WilliamsRMRK #dataset #modelling
Models of OSS project meta-information: a dataset of three forges (JRW, DDR, NDM, JDR, DSK), pp. 408–411.
MSRMSR-2014-YamashitaMKU
Magnet or sticky? an OSS project-by-project typology (KY, SM, YK, NU), pp. 344–347.
SEKESEKE-2014-FariasONCM #behaviour #case study
Recovering Valuable Information Behaviour from OSS Contributors: An Exploratory Study (MAdFF, PO, RLN, MCJ, MGM), pp. 474–477.
FSEFSE-2014-XuanODF #congruence #developer #graph
Focus-shifting patterns of OSS developers and their congruence with call graphs (QX, AO, PTD, VF), pp. 401–412.
ICSEICSE-2014-XuanF #development
Building it together: synchronous development in OSS (QX, VF), pp. 222–233.
ICSMEICSM-2013-GharehyaziePF #developer #predict #process #social
Social Activities Rival Patch Submission for Prediction of Developer Initiation in OSS Projects (MG, DP, VF), pp. 340–349.
MSRMSR-2013-HamasakiKYCFI #bibliography #code review #dataset #repository #what
Who does what during a code review? datasets of OSS peer review repositories (KH, RGK, NY, AECC, KF, HI), pp. 49–52.
MSRMSR-2012-CapiluppiSY #developer
Developing an h-index for OSS developers (AC, AS, AY), pp. 251–254.
ICSEICSE-2012-ZhouM #community #what
What make long term contributors: Willingness and opportunity in OSS community (MZ, AM), pp. 518–528.
WCREWCRE-2011-KashimaHYMI #reuse
An Investigation into the Impact of Software Licenses on Copy-and-paste Reuse among OSS Projects (YK, YH, NY, YM, KI), pp. 28–32.
MSRMSR-2010-ColacoMFH #analysis #developer
OSS developers context-specific Preferred Representational systems: A initial Neurolinguistic text analysis of the Apache mailing list (MCJ, MGM, MF, PHdS), pp. 126–129.
ICEISICEIS-ISAS-2010-EliceguiVM #data mining #mining #semantics
Combining Semantic Technologies and Data Mining to Endow BSS/OSS Systems with Intelligence — Particularization to an International Telecom Company Tariff System (JME, GTdV, MdFM), pp. 350–355.
SEKESEKE-2010-AlhassanCB #analysis #fault #network #people #social
Do More People Make the Code More Defect Prone?: Social Network Analysis in OSS Projects (SA, BC, ABB), pp. 93–98.
SEKESEKE-2009-AhsanFW #debugging #estimation #machine learning #using
Program File Bug Fix Effort Estimation Using Machine Learning Methods for OSS (SNA, JF, FW), pp. 129–134.
MSRMSR-2007-BirdGD #detection
Detecting Patch Submission and Acceptance in OSS Projects (CB, AG, PTD), p. 26.
MSRMSR-2007-RigbyH #analysis #developer #what
What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List (PCR, AEH), p. 23.
ECMFAECMDA-FA-2007-AchilleosGY #development #framework #modelling #open source #tool support
An Open Source Domain-Specific Tools Framework to Support Model Driven Development of OSS (AA, NG, KY), pp. 1–16.
MSRMSR-2006-TsunodaMKKM #developer #using
Analyzing OSS developers’ working time using mailing lists archives (MT, AM, TK, YK, KiM), pp. 181–182.
CSMRCSMR-2004-CapiluppiML #comprehension #evolution
Evolution of understanding in OSS projects (AC, MM, PL), pp. 58–68.
VLDBVLDB-1995-GravanoG #database
Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies (LG, HGM), pp. 78–89.
SIGMODSIGMOD-1994-GravanoGT #database #effectiveness #problem
The Effectiveness of GlOSS for the Text Database Discovery Problem (LG, HGM, AT), pp. 126–137.

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