Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification
Secure patterns provide a solution for the security requirement of the software. There are large number of secure patterns, and it is quite difficult to choose an appropriate pattern. Moreover, selection of these patterns needs security knowledge; generally, developers are not specialized in the dom...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8546743/ |
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| _version_ | 1832582365239574528 |
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| author | Ishfaq Ali Muhammad Asif Muhammad Shahbaz Adnan Khalid Mariam Rehman Aziz Guergachi |
| author_facet | Ishfaq Ali Muhammad Asif Muhammad Shahbaz Adnan Khalid Mariam Rehman Aziz Guergachi |
| author_sort | Ishfaq Ali |
| collection | DOAJ |
| description | Secure patterns provide a solution for the security requirement of the software. There are large number of secure patterns, and it is quite difficult to choose an appropriate pattern. Moreover, selection of these patterns needs security knowledge; generally, developers are not specialized in the domain of security knowledge. This paper can help in the selection of secure pattern on the basis of tradeoffs of the secure pattern using text categorization. A repository of secure design patterns is used as a data set and a repository of requirements artifacts in the form of software requirements specification (SRS) are used for this paper. A text categorization scheme, which begins with preprocessing, indexing of secure patterns, ends up by querying SRS features for retrieving secure design pattern using document retrieval model. For the evaluation of the proposed model, we have used three different domains’ SRS. These three SRS documents represent three different domains, i.e., e-commerce, social media, and desktop utility program. A traditional precision and recall method along with F-measure used for evaluation of information/document retrieval model is used to evaluate the results. F-measure for 17 different design problems shows around 81% accuracy with recall up to 0.69%. |
| format | Article |
| id | doaj-art-35bae4ee0c424e3f94da931ef057588e |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-35bae4ee0c424e3f94da931ef057588e2025-01-30T00:00:38ZengIEEEIEEE Access2169-35362018-01-016739287393910.1109/ACCESS.2018.28830778546743Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement SpecificationIshfaq Ali0Muhammad Asif1https://orcid.org/0000-0003-1839-2527Muhammad Shahbaz2Adnan Khalid3https://orcid.org/0000-0001-9880-5429Mariam Rehman4Aziz Guergachi5Department of Computer Science, National Textile University, Faisalabad, PakistanDepartment of Computer Science, National Textile University, Faisalabad, PakistanDepartment of Computer Science & Engineering, University of Engineering and Technology, Lahore, PakistanDepartment of Computer Science, Government College University, Lahore, PakistanDepartment of Information Technology, Government College University, Faisalabad, PakistanTed Rogers School of Management, Ryerson University, Toronto, CanadaSecure patterns provide a solution for the security requirement of the software. There are large number of secure patterns, and it is quite difficult to choose an appropriate pattern. Moreover, selection of these patterns needs security knowledge; generally, developers are not specialized in the domain of security knowledge. This paper can help in the selection of secure pattern on the basis of tradeoffs of the secure pattern using text categorization. A repository of secure design patterns is used as a data set and a repository of requirements artifacts in the form of software requirements specification (SRS) are used for this paper. A text categorization scheme, which begins with preprocessing, indexing of secure patterns, ends up by querying SRS features for retrieving secure design pattern using document retrieval model. For the evaluation of the proposed model, we have used three different domains’ SRS. These three SRS documents represent three different domains, i.e., e-commerce, social media, and desktop utility program. A traditional precision and recall method along with F-measure used for evaluation of information/document retrieval model is used to evaluate the results. F-measure for 17 different design problems shows around 81% accuracy with recall up to 0.69%.https://ieeexplore.ieee.org/document/8546743/Design patternsecuritycorpustext categorizationSVDSVM |
| spellingShingle | Ishfaq Ali Muhammad Asif Muhammad Shahbaz Adnan Khalid Mariam Rehman Aziz Guergachi Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification IEEE Access Design pattern security corpus text categorization SVD SVM |
| title | Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification |
| title_full | Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification |
| title_fullStr | Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification |
| title_full_unstemmed | Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification |
| title_short | Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification |
| title_sort | text categorization approach for secure design pattern selection using software requirement specification |
| topic | Design pattern security corpus text categorization SVD SVM |
| url | https://ieeexplore.ieee.org/document/8546743/ |
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