TY - GEN
T1 - Poster
T2 - 40th ACM/IEEE International Conference on Software Engineering, ICSE 2018
AU - Ubayashi, Naoyasu
AU - Muraoka, Hokuto
AU - Muramoto, Daiki
AU - Kamei, Yasutaka
AU - Sato, Ryosuke
N1 - Publisher Copyright:
© 2018 Authors.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/5/27
Y1 - 2018/5/27
N2 - Recently, many developers begin to notice that uncertainty is a crucial problem in software development. Unfortunately, no one knows how often uncertainty appears or what kinds of uncertainty exist in actual projects, because there are no empirical studies on uncertainty. To deal with this problem, we conduct a large-scale empirical study analyzing commit messages and revision histories of 1,444 OSS projects selected from the GitHub repositories.
AB - Recently, many developers begin to notice that uncertainty is a crucial problem in software development. Unfortunately, no one knows how often uncertainty appears or what kinds of uncertainty exist in actual projects, because there are no empirical studies on uncertainty. To deal with this problem, we conduct a large-scale empirical study analyzing commit messages and revision histories of 1,444 OSS projects selected from the GitHub repositories.
UR - http://www.scopus.com/inward/record.url?scp=85049674612&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049674612&partnerID=8YFLogxK
U2 - 10.1145/3183440.3194966
DO - 10.1145/3183440.3194966
M3 - Conference contribution
AN - SCOPUS:85049674612
T3 - Proceedings - International Conference on Software Engineering
SP - 272
EP - 273
BT - Proceedings - International Conference on Software Engineering
PB - IEEE Computer Society
Y2 - 27 May 2018 through 3 June 2018
ER -