Visualizing changing requirements with self-organizing maps

被引:0
作者
Sedbrook, TA [1 ]
机构
[1] Univ No Colorado, Greeley, CO 80639 USA
关键词
systems analysis; requirements management; self organizing maps; information systems development;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper explores categorizing and visualizing changing software system requirements through self-organizing neural maps. We present a field study that explores resulting visualizations and traces requirements through three project phases. The visualization models were applied to an ongoing e-commerce project where evolving business models and changing plans forced a requirements team to continually assess impacts of change. Analysts labeled requirements within twenty-seven input dimensions. Self-organizing maps (SOM) were then generated to cluster requirements and to present visual models of change. SOM enhanced organization and traceability of business issues, use-case documents, and project concerns.
引用
收藏
页码:63 / 72
页数:10
相关论文
共 50 条
  • [41] Self-Organizing Maps for Fraud Profiling in Leasing
    Bach, Mirjana Pejic
    Vlahovic, Nikola
    Pivar, Jasmina
    [J]. 2018 41ST INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2018, : 1203 - 1208
  • [42] Self-organizing maps in adaptive health monitoring
    Tamminen, S
    Pirttikangas, S
    Röning, J
    [J]. IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL IV, 2000, : 259 - 264
  • [43] Analyzing financial performance with self-organizing maps
    Back, B
    Sere, K
    Vanharanta, H
    [J]. IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 1998, : 266 - 270
  • [44] Additive Composition of Supervised Self-Organizing Maps
    Jean-Luc Buessler
    Jean-Philippe Urban
    Julien Gresser
    [J]. Neural Processing Letters, 2002, 15 : 9 - 20
  • [45] Self-organizing maps for the skeletonization of sparse shapes
    Singh, R
    Cherkassky, V
    Papanikolopoulos, N
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2000, 11 (01): : 241 - 248
  • [46] Characterization of Suicidal Behaviour with Self-Organizing Maps
    Leiva-Murillo, Jose M.
    Lopez-Castroman, Jorge
    Baca-Garcia, Enrique
    [J]. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2013, 2013
  • [47] Additive composition of supervised self-organizing maps
    Buessler, JL
    Urban, JP
    Gresser, J
    [J]. NEURAL PROCESSING LETTERS, 2002, 15 (01) : 9 - 20
  • [48] Aggregating Self-Organizing Maps with Topology Preservation
    Mariette, Jerome
    Villa-Vialaneix, Nathalie
    [J]. ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION, WSOM 2016, 2016, 428 : 27 - 37
  • [49] Flexible Self-Organizing Maps in kohonen 3.0
    Wehrens, Ron
    Kruisselbrink, Johannes
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2018, 87 (07): : 1 - 18
  • [50] Application of Self-Organizing Maps to the Maritime Environment
    Lobo, Victor J. A. S.
    [J]. INFORMATION FUSION AND GEOGRAPHIC INFORMATION SYSTEMS, PROCEEDINGS, 2009, : 19 - 36