TY - GEN
T1 - Towards recovering fault traceability links by using information retrieval technique
AU - Baek, Seungsuk
AU - Lee, Jung Won
AU - Lee, Byungjeong
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2018.
PY - 2018
Y1 - 2018
N2 - As the software R&D project progresses, various software artifacts such as software test case, software test descriptions, software source codes, software design descriptions, and software requirements specification will inevitably be produced. When developer performs the system testing, software bugs will be found if there is fault in it. After that, developer will write up an incident report for fault management, and then developer will try to find the artifacts for checking and fixing. Because developer must check the requirement before the fixing and developer has to get the source code including the bug and its test case for fixing and unit testing. Therefore, useful approach should be proposed in order to trace the artifacts from incident report. In this paper, we propose a novel approach for recovering fault traceability links by using IR technique to show that our approach can be a useful solution.
AB - As the software R&D project progresses, various software artifacts such as software test case, software test descriptions, software source codes, software design descriptions, and software requirements specification will inevitably be produced. When developer performs the system testing, software bugs will be found if there is fault in it. After that, developer will write up an incident report for fault management, and then developer will try to find the artifacts for checking and fixing. Because developer must check the requirement before the fixing and developer has to get the source code including the bug and its test case for fixing and unit testing. Therefore, useful approach should be proposed in order to trace the artifacts from incident report. In this paper, we propose a novel approach for recovering fault traceability links by using IR technique to show that our approach can be a useful solution.
KW - Fault
KW - Information retrieval
KW - Software artifact
KW - Traceability recovery
UR - http://www.scopus.com/inward/record.url?scp=85039436801&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-7605-3_188
DO - 10.1007/978-981-10-7605-3_188
M3 - Conference contribution
AN - SCOPUS:85039436801
SN - 9789811076046
T3 - Lecture Notes in Electrical Engineering
SP - 1180
EP - 1185
BT - Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 17
A2 - Yi, Gangman
A2 - Sung, Yunsick
A2 - Park, James J.
A2 - Loia, Vincenzo
PB - Springer Verlag
T2 - International Conference on Computer Science and its Applications, CSA 2017
Y2 - 18 December 2017 through 20 December 2017
ER -