Supporting Expertise Location in Coding Phase of Software Development Process

被引:1
作者
Martinez, J. R. [1 ]
Palacio, R. R. [2 ]
Vizcaino, A. [3 ]
Cortez, J. [1 ]
Menendez, V. H. [4 ]
机构
[1] Inst Tecnol Sonora ITSON, Obregon, Sonora, Mexico
[2] Inst Tecnol Sonora ITSON, Software Engn, Navojoa, Sonora, Mexico
[3] UCLM, Software Engeneering, Ciudad Real, Spain
[4] Univ Autonoma Yucatan UADY, Software Engn, Merida, Yucatan, Mexico
关键词
coding phase; software engineering; expertise location; software agents; AGENT-BASED MODEL; KNOWLEDGE;
D O I
10.1109/TLA.2018.8447380
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Software organizations attempt to reduce the time and cost of software projects to maintain competition between organizations, one way to achieve this goal is by applying knowledge gained from previous projects or resources used by members of the organization. However, software developer teams generally do not benefit from this knowledge as it is rarely stored. This is a problem since to solve problems or doubts developers need to seek expertise (knowledge of the best level at the right time) to maintain the level of competition and the fact of not having information of this knowledge makes it difficult to identify and in some cases, this is lost when the provider leaves the company. This work addresses the expertise location problem through an agent-based architecture for coding phase of software development process, which was designed from the information obtained by a focal group and with a case study of the search for expertise in software development organizations.
引用
收藏
页码:2085 / 2091
页数:7
相关论文
共 22 条
[1]  
[Anonymous], 2010, KNOWLEDGE MANAGEMENT
[2]  
Bangor A, 2009, J USABILITY STUD, V4, P114
[3]  
Borrego G., 2016, 11 IEEE INT C GLOB S
[4]  
Borrego G., 2017, 12 IEEE INT C GLOB S
[5]  
Brandt J, 2010, CHI2010: PROCEEDINGS OF THE 28TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, P513
[6]  
Brooke J., 1996, USABILITY EVALUATION, P189
[7]  
Chatterjee S, 2009, LECT NOTES COMPUT SC, V5503, P385
[8]   Agent-based Model for the Analysis of Technological Acceptance of Mobile Learning [J].
Diez, L. F. ;
Valencia, A. ;
Bermudez, J. .
IEEE LATIN AMERICA TRANSACTIONS, 2017, 15 (06) :1121-1127
[9]  
Ericsson KA, 2007, HARVARD BUS REV, V85, P114
[10]  
Grechanik M., 2010, P 32 ACM IEEE INT C, P475, DOI DOI 10.1145/1806799.1806868