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Delta analyzer: tool-based evaluation of modified requirements for an efficient development effort estimation in the RFQ process

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
Języki publikacji
EN
Abstrakty
EN
Once an automotive OEM decided to source a new component, a Request for Quotation (RFQ) is send to potential suppliers. Among other documents the RFQ contains a Component Requirements Specification (CRS), which describes the properties of the desired component. As a next step, the supplier has to evaluate the requirements and other boundary conditions of the RFQ and to provide an offer to the OEM. In case the supplier already developed a similar component in the past, it is possible to compare the CRS of the predecessor product with the actual CRS, to estimate the additional development effort. This activity is known as the delta analysis. Since no sufficient tool support is offered, this activity is still a predominantly manual task. The main challenge arises from the fact, that specification documents within the RFQ are provided in different office formats, written by different authors and therefore cannot be compared automatically with the CRS from the predecessor product. In our previous work, we presented the Requirements to Boilerplates Converter (R2BC), which automatically converts random natural language requirements into a predefined syntax. The aim of the approach is to facilitate a subsequent toolbased delta analysis. Consequently, we hereby introduce our proprietary developed Delta Analyzer (DA). This tool is based on Natural Language Processing (NLP) and allows to compare automatically two random specification documents. Moreover, the DA prioritizes requirements deltas according to their impact on development effort. As an output of the DA requirements engineers receive a delta report, which outlines the major differences between the requirements of the two CRS.We validate our approach by experiments on real-life specification documents.
Rocznik
Tom
Strony
59--66
Opis fizyczny
Bibliogr. 11 poz., rys., tab.
Twórcy
  • Advanced Engineering Projects, HELLA GmbH & Co. KGaA Lippstadt, Germany
autor
  • Department of Computer Science, University of Applied Sciences and Arts, Dortmund, Germany
autor
  • Department of Computer Science, University of Applied Sciences and Arts, Dortmund, Germany
  • Department of Electrical Engineering and Information Technology, South Westphalia University of Applied Sciences, Hagen, Germany
Bibliografia
  • 1. K. Zichler and S. Helke. R2BC : Tool-Based Requirements Preparation for Delta Analyses by Conversion into Boilerplates. In Proceedings Workshop on Automotive Software Engineering (ASE 2019) CEUR-WS, 2308, pages 45-52, 2019.
  • 2. R. Weischedel et al. White Paper on Natural Language Processing. In Proceedings of the Workshop on Speech and Natural Language. Association for Computational Linguistics, 1989.
  • 3. D. Thakker and T. Osman and P. Lakin. Gate Jape Grammar Tutorial. Nottingham Trent University, UK, Phil Lakin, UK, Version 1, 2009.
  • 4. L. Yujian and L. Bo. A Normalized Levenshtein Distance Metric. In Proceedings IEEE Transactions on Pattern Analysis and Machine Intelligence, 29.6, pages 1091-1095, 2007.
  • 5. Y. Wind and T.L. Saaty. Marketing Applications of the Analytic Hierarchy Process. Management Science 26.7, pages 641-658, 1980.
  • 6. D. Massand. Systems and Methods for the Comparison of Annotations within Files U.S. Patent No. 8,732,181. 2014.
  • 7. M. Schraps and A. Bosler. Knowledge Extraction from German Automotive Software Requirements using NLP-Techniques and a Grammar-based Pattern Detection. In Proc. of the Int. Conf. on Pervasive Patterns and Applications, 2016.
  • 8. https://www.ibm.com/support/knowledgecenter/en/SSYQBZ_9.6.1/com.ibm.doors.requirements.doc/topics/c_modulecomparisonmarkup.html
  • 9. https://www.docscorp.com/products/comparedocs/softwaredevelopment-kit-SDK-API
  • 10. F. Ritter and A. Schul. Entwurf und Implementierung einer Werkzeugunterstützung zur sprachlichen Analyse und automatisierten Transformation von Projektlastenheften im Kontext der Automobilindustrie. Bachelor thesis, FH Dortmund, 2019.
  • 11. K. Zichler and S. Helke. Ontologiebasierte Abhängigkeitsanalyse im Projektlastenheft. In Proceedings Automotive - Safety und Security (AUTOMOTIVE 2017), GI-LNI, 269, 2017.
Uwagi
1. Track 2: Computer Science & Systems
2. Technical Session: 4th International Workshop on Language Technologies and Applications
3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b85dae15-29d1-42c8-8ef2-71c6080ad733
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