Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering 2018

DOI: 10.5220/0006817905130521

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Verification of Causality in the Frame System based on the Topological Functioning Modelling

Vladislavs Nazaruks

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Discovered Issues and Their Causes1

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Cited by 4 publications

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“…It is demonstrated in this example, in Steps 4 and 5 of the main use case. 4. The use case scenario may have different levels of detalisation.…”

Section: Discovered Issues and Their Causesmentioning

confidence: 99%

“…The final step of the transformations is generation of source code for selected platforms. The TFM is embedded into a knowledge frame system [3], [4] for keeping and managing results of the text processing. The aim is to gain from an inferring mechanism and flexibility of the knowledge base as well as to discover conflicts in knowledge, manage synonyms, and infer new knowledge from the existing one.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Extracting TFM Core Elements From Use Case Scenarios by Processing Structure and Text in Natural Language

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2019

Applied Computer Systems

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Extracting core elements of Topological Functioning Model (TFM) from use case scenarios requires processing of both structure and natural language constructs in use case step descriptions. The processing steps are discussed in the present paper. Analysis of natural language constructs is based on outcomes provided by Stanford CoreNLP. Stanford CoreNLP is the Natural Language Processing pipeline that allows analysing text at paragraph, sentence and word levels. The proposed technique allows extracting actions, objects, results, preconditions, post-conditions and executors of the functional features, as well as cause-effect relations between them. However, accuracy of it is dependent on the used language constructs and accuracy of specification of event flows. The analysis of the results allows concluding that even use case specifications require the use of rigor, or even uniform, structure of paths and sentences as well as awareness of the possible parsing errors.

“…It is demonstrated in this example, in Steps 4 and 5 of the main use case. 4. The use case scenario may have different levels of detalisation.…”

Section: Discovered Issues and Their Causesmentioning

confidence: 99%

“…The final step of the transformations is generation of source code for selected platforms. The TFM is embedded into a knowledge frame system [3], [4] for keeping and managing results of the text processing. The aim is to gain from an inferring mechanism and flexibility of the knowledge base as well as to discover conflicts in knowledge, manage synonyms, and infer new knowledge from the existing one.…”

Section: Introductionmentioning

confidence: 99%

Extracting TFM Core Elements From Use Case Scenarios by Processing Structure and Text in Natural Language

¹

,

²

,

³

2019

Applied Computer Systems

Self Cite

View full text Add to dashboard Cite

Extracting core elements of Topological Functioning Model (TFM) from use case scenarios requires processing of both structure and natural language constructs in use case step descriptions. The processing steps are discussed in the present paper. Analysis of natural language constructs is based on outcomes provided by Stanford CoreNLP. Stanford CoreNLP is the Natural Language Processing pipeline that allows analysing text at paragraph, sentence and word levels. The proposed technique allows extracting actions, objects, results, preconditions, post-conditions and executors of the functional features, as well as cause-effect relations between them. However, accuracy of it is dependent on the used language constructs and accuracy of specification of event flows. The analysis of the results allows concluding that even use case specifications require the use of rigor, or even uniform, structure of paths and sentences as well as awareness of the possible parsing errors.

Using Stanford CoreNLP Capabilities for Semantic Information Extraction from Textual Descriptions

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2020

Communications in Computer and Information Science

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Theory Driven Modeling as the Core of Software Development

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2021

Research Anthology on Recent Trends, Tools, and Implications of Computer Programming

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Some experts opine that software is built in a primitive way. The role of modeling as a treatment for the weakness of software engineering became more important when the principles of Model Driven Architecture (MDA) appeared. Its main advantage is architectural separation of concerns. It showed the necessity of modeling and opened the way for software development to become an engineering discipline. However, this principle does not demonstrate its whole potential power in practice because of lack of mathematical accuracy in the very initial steps of software development. The sufficiency of modeling in software development is still disputable. The authors believe that software development in general (and modeling in particular) based on mathematical formalism in all of its stages and together with the implemented principle of architectural separation of concerns can become an important part of software engineering in its real sense. They propose the formalism by topological modeling of system functioning as the first step towards engineering.

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