User Story Extraction from Online News with FeatureBased and Maximum Entropy Method for Software Requirements Elicitation
Abstract
Keywords
Full Text:
Full TextReferences
Schon EM, Thomaschewski J, Escalona MJ. Agile requirements engineering: a systematic literature review. Computer Standards and Interfaces 2017 1;49:79–91.
Neill CJ, Laplante PA. Requirements engineering: the State of the practice. IEEE Software 2003;20:40–45.
Kassab M. The changing landscape of requirements engineering practices over the past decade. In: 5th International Workshop on Empirical Requirements Engineering, EmpiRE 2015 Institute of Electrical and Electronics Engineers Inc.;2016. p. 1–8.
Bakar NH, Kasirun ZM, Salleh N. Feature extraction approaches from natural language requirements for reuse in software product lines: A systematic literature review. Journal of Systems and Software 2015 8;106:132–149.
Lucassen G, Robeer M, Dalpiaz F, van der Werf JMEM, Brinkkemper S. Extracting conceptual models from user stories with visual narrator. Requirements Engineering 2017 9;22:339–358.
Bakar NH, Kasirun ZM, Salleh N, Jalab HA. Extracting features from online software reviews to aid requirements reuse. Applied Soft Computing Journal 2016 12;49:1297–1315.
Yang L, Liu B, Lin H, Lin Y. Combining local and global information for product feature extraction in opinion documents. Information Processing Letters 2016 10;116:623–627.
Sibarani EM, Hutagaol A, Simarmata D, Manihuruk J. Actor and Use Case Extraction from Text-Based Requirement Specifcation. In: Proceedings of the International Conference Image Processing. Computers and Industrial Engineering (ICICIE’2014), Kuala Lumpur, Malaysia Computers and Industrial Engineering; 2014. p. 15–16.
Goyal A, Gupta V, Kumar M. Recent named entity recognition and classifcation techniques: A systematic review. Computer Science Review 2018 8;29:21–43.
Saha SK, Sarkar S, Mitra P. Feature selection techniques for maximum entropy based biomedical named entity recognition Journal of Biomedical Informatics 2009 10;42:905–911.
Putra TSJ. A Maximum Entropy Approach to Named Entity Recognition. PhD thesis, New York University; 1999. 12. Swain C, Bansod PP, Janghel S. Name entity recognition by using maximum entropy. International Journal of Applied Engineering Research 2013;8:2241–2244.
Syah AP, Adiwijaya, Faraby SA. Analisis Sentimen Pada Data Ulasan Produk Toko Online Dengan Metode Maximum Entropy Sentiment Analysis on Online Store Product Reviews With Maximum. In: Proceeding of Engineering (E-Proceeding) Proceeding of Engineering ( E-Proceeding); 2017. p. 4632–4640.
Jung JJ. Online named entity recognition method for microtexts in social networking services: A case study of twitter. Expert Systems with Applications 2012 7;39:8066–8070.
Shen D, Zhang J, Zhou G, Su J, Tan CL. Effective Adaptation of a Hidden Markov Model-based Named Entity Recognizer for Biomedical Domain. In: Proceedings of the ACL 2003 workshop on Natural language Processing in Biomedicin, Proceedings of the ACL 2003 workshop on Natural language Processing in Biomedicine; 2003. p. 49–56.
Raharjana IK, Siahaan D, Fatichah C. User Story Extraction from Online News for Software Requirements Elicitation: A Conceptual Model. In: JCSSE 2019 - 16th International Joint Conference on Computer Science and Software Engineering: Knowledge Evolution Towards Singularity of Man-Machine Intelligence JCSSE 2019; 2019. p. 342–347. https://scholar.unair.ac.id/en/publications/user-story-extraction-from-online-news-for-software-requirements-.
Raharjana IK, Siahaan D, Fatichah C. User stories and natural language processing: a systematic literature review. IEEE Access 2021;9:53811–53826.
Dewi MR, Raharjana IK, Siahaan D, Fatichah C. Software Requirement-Related Information Extraction from Online News using Domain Specifcity for Requirements Elicitation: How the system analyst can get software requirements without constrained by time and stakeholder availability. In: 10th International Conference on Software and Computer Applications 10th International Conference on Software and Computer Applications; 2021. p. 81–87.
DOI: http://dx.doi.org/10.12962/j20882033.v32i3.11625
Refbacks
- There are currently no refbacks.
IPTEK Journal of Science and Technology by Lembaga Penelitian dan Pengabdian kepada Masyarakat, ITS is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at https://iptek.its.ac.id/index.php/jts.