TY - GEN
T1 - Crowd Intelligence in Requirements Engineering
T2 - 25th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2019
AU - Khan, Javed Ali
AU - Liu, Lin
AU - Wen, Lijie
AU - Ali, Raian
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Software systems are the joint creative products of multiple stakeholders, including both designers and users, based on their perception, knowledge and personal preferences of the application context. The rapid rise in the use of Internet, mobile and social media applications make it even more possible to provide channels to link a large pool of highly diversified and physically distributed designers and end users, the crowd. Converging the knowledge of designers and end users in requirements engineering process is essential for the success of software systems. In this paper, we report the findings of a survey of the literature on crowd-based requirements engineering research. It helps us understand the current research achievements, the areas of concentration, and how requirements related activities can be enhanced by crowd intelligence. Based on the survey, we propose a general research map and suggest the possible future roles of crowd intelligence in requirements engineering.
AB - Software systems are the joint creative products of multiple stakeholders, including both designers and users, based on their perception, knowledge and personal preferences of the application context. The rapid rise in the use of Internet, mobile and social media applications make it even more possible to provide channels to link a large pool of highly diversified and physically distributed designers and end users, the crowd. Converging the knowledge of designers and end users in requirements engineering process is essential for the success of software systems. In this paper, we report the findings of a survey of the literature on crowd-based requirements engineering research. It helps us understand the current research achievements, the areas of concentration, and how requirements related activities can be enhanced by crowd intelligence. Based on the survey, we propose a general research map and suggest the possible future roles of crowd intelligence in requirements engineering.
KW - Crowd intelligence
KW - Crowdsourcing
KW - Requirements engineering
KW - User feedback
UR - http://www.scopus.com/inward/record.url?scp=85064036137&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-15538-4_18
DO - 10.1007/978-3-030-15538-4_18
M3 - Conference contribution
AN - SCOPUS:85064036137
SN - 9783030155377
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 245
EP - 261
BT - Requirements Engineering
A2 - Knauss, Eric
A2 - Goedicke, Michael
PB - Springer Nature Link
Y2 - 18 March 2019 through 21 March 2019
ER -