Knowledge-based software engineering : 2020 : proceedings of the 13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), Larnaca, Cyprus, August 24-26 2020 /
| Άλλοι συγγραφείς: | Βίρβου, Μαρία., Nakagawa, Hiroyuki., Jain, L. C. |
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| Μορφή: | Βιβλίο |
| Γλώσσα: | English |
| Στοιχεία έκδοσης: |
Cham, Switzerland :
Springer,
2020.
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| Σειρά: |
Learning and analytics in intelligent systems ;
19 |
| Ταξινομικός αριθμός: |
005.1 KNO |
| Θέματα: | |
| Ετικέτες: |
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| Περιγραφή τεκμηρίου: |
Contents: Intro -- Preface -- Keynote Speech -- A SPN Holistic Approach for Automatic Deep Understanding of Technical Documents Nikolaos G. Bourbakis Wright State University, Ohio, USA Nikolaos.bourbakis@wright.eduAbstract. For many decades, scientists and practitioners have been developing methodologies for solving simple or complex scientific problems. Lately, they have been creating synergies of different methodologies in order to address and solve more complex problems, but they have to face issues of compatibility among the different mod -- Biography Contents: Quantitative Analysis of Goal-Oriented Requirements Models Haruhiko Kaiya Kanagawa University, Hiratsuka 259-1293, Japan kaiya@acm.org Abstract. An information system is developed and embedded into a dairy activity to satisfy requirements of people in the activity. Because the system is expected to improve the activity, we have to predict the extent of such improvement. Goal-oriented requirements models are useful to represent the relationships among systems and people in a business or life acti -- Biography -- Contents -- Quantitative Analysis of Goal Oriented Requirements Models Contents: 1 Introduction -- 2 Typical Goal-Oriented Requirements Models -- 3 Quantitative Analysis of Goal Models -- 4 Future Challenges -- 5 Final Remarks -- References -- Revisiting Principles and Challenges in Natural Language Programming -- 1 Introduction -- 2 Natural Language at the Centre -- 3 Related Work -- 3.1 The First Attempts -- 3.2 On the Play of Semantic Web -- 3.3 The Representation Learning Perspective -- 4 The Typical Task and User -- 5 Principles -- 6 Challenges -- 6.1 Information Extraction: The Data -- 6.2 Search & Run: The Method -- 6.3 Hybrid Interface: The Fusion Contents: 6.4 User's Idiosyncrasies: The Human Factor -- 6.5 Explanability: The Transparency -- 7 Summary -- References -- Improving Accuracy of Automatic Derivation of State Variables and Transitions from a Japanese Requirements Specification -- 1 Introduction -- 2 Background -- 2.1 Related Techniques -- 2.2 Related Work -- 3 Proposed Method -- 3.1 Morphological Analysis -- 3.2 Parsing -- 3.3 Classification -- 3.4 Extraction of Operation of Condition and Target of the Operation -- 3.5 Extraction of Operation and Operation Target When Conditions Are Satisfied -- 4 Improved Method Contents: 4.1 Extraction of State and Condition Before Transition -- 4.2 Extraction of State After Operation and Transition -- 5 Evaluation -- 5.1 Evaluation Experiment and Evaluation Criteria for RQ1 -- 5.2 Evaluation Experiment and Evaluation Criteria for RQ2 -- 5.3 Results of Experiment 1 -- 5.4 Results of Experiment 2 -- 5.5 Summary -- 6 Discussion -- 6.1 Discussion of Experiment 1 -- 6.2 Discussion of Experiment 2 -- 7 Conclusion -- References -- Supporting Change Management of Sequence Diagrams -- 1 Introduction -- 2 Sequence Diagram -- 3 Related Works International conference proceedings. |
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| Φυσική περιγραφή: |
194 σ. ; 24 εκ. |
| Βιβλιογραφία: |
Περιέχει βιβλιογραφία και ευρετήριο. |
| ISBN: |
9783030539481 |