TY - GEN
T1 - CrowdSLR: a tool to support the use of crowdsourcing in systematic literature reviews
AU - Santos, Vinicius
AU - Iwazaki, Anderson
AU - Souza, Érica
AU - Felizardo, Katia
AU - Vijaykumar, Nandamudi
PY - 2021
Y1 - 2021
N2 - Systematic Literature Reviews (SLR) have been used by Software Engineering (SE) community to produce reliable scientific evidence. An SLR process can be exhaustive and time-consuming, therefore, many approaches have been proposed to reduce time and efforts during the SLR conduction process. Although the SLR process is amenable to automation, nowadays full automation is not yet possible. An alternative to reduce time and efforts in SLR conduction is the use of crowdsourcing. However, there is no crowdsourcing tool to support a crowd-based SLR process. In this context, we present CrowdSLR, a tool to support the application of crowdsourcing in SLR during the selection of primary studies. Furthermore, we present its main features, potential users, and the architecture that was implemented to allow researchers to adopt this tool. The results of the CrowdSLR application indicate that the tool is able to provide the use crowdsourcing during the SLR selection process. The results that the proposed tool, indeed, show a significant improvement in the crowdsourcing approach in terms of time and effort to facilitate the SLR selection activity. Demo Video: https://youtu.be/UoQTC-R-Mv0
AB - Systematic Literature Reviews (SLR) have been used by Software Engineering (SE) community to produce reliable scientific evidence. An SLR process can be exhaustive and time-consuming, therefore, many approaches have been proposed to reduce time and efforts during the SLR conduction process. Although the SLR process is amenable to automation, nowadays full automation is not yet possible. An alternative to reduce time and efforts in SLR conduction is the use of crowdsourcing. However, there is no crowdsourcing tool to support a crowd-based SLR process. In this context, we present CrowdSLR, a tool to support the application of crowdsourcing in SLR during the selection of primary studies. Furthermore, we present its main features, potential users, and the architecture that was implemented to allow researchers to adopt this tool. The results of the CrowdSLR application indicate that the tool is able to provide the use crowdsourcing during the SLR selection process. The results that the proposed tool, indeed, show a significant improvement in the crowdsourcing approach in terms of time and effort to facilitate the SLR selection activity. Demo Video: https://youtu.be/UoQTC-R-Mv0
UR - http://www.scopus.com/inward/record.url?scp=85117155649&partnerID=8YFLogxK
U2 - 10.1145/3474624.3476008
DO - 10.1145/3474624.3476008
M3 - Conference contribution
T3 - ACM International Conference Proceeding Series
SP - 341
EP - 346
BT - SBES 2021
PB - Association for Computing Machinery
T2 - 35th Brazilian Symposium on Software Engineering, SBES 2021, held in conjunction with the Brazilian Conference on Software: Theory and Practice, CBSoft 2021
Y2 - 29 September 2021 through 1 October 2021
ER -