Proceedings of the 13th Innovations in Software Engineering Conference on Formerly known as India Software Engineering Conference最新文献_第3页

Functionality Based Code Smell Detection and Severity Classification 基于功能的代码气味检测和严重性分类

Proceedings of the 13th Innovations in Software Engineering Conference on Formerly known as India Software Engineering Conference Pub Date : 2020-02-27 DOI: 10.1145/3385032.3385048

Omkarendra Tiwari, R. Joshi

引用次数: 3

An Approach to Mine SBVR Vocabularies and Rules from Business Documents 从商务文档中挖掘SBVR词汇和规则的方法

Proceedings of the 13th Innovations in Software Engineering Conference on Formerly known as India Software Engineering Conference Pub Date : 2020-02-27 DOI: 10.1145/3385032.3385046

Pavan Kumar Chittimalli, Chandan Prakash, Ravindra Naik, A. Bhattacharyya

{"title":"An Approach to Mine SBVR Vocabularies and Rules from Business Documents","authors":"Pavan Kumar Chittimalli, Chandan Prakash, Ravindra Naik, A. Bhattacharyya","doi":"10.1145/3385032.3385046","DOIUrl":"https://doi.org/10.1145/3385032.3385046","url":null,"abstract":"Enterprises model the behavior of their business to prepare a communication standard for business analysts and to specify requirements to Information Technology (IT) people. The communication gap between IT group and business analysts, who lie on the opposite end of the business spectrum exists due to the different terminologies used in their respective fields regarding the same context. This gap has led to major software failures which prompted the OMG group has come up with a new standard - Semantic of Business Vocabulary and Business Rules (SBVR). Declarative models are provided by SBVR to represent Business Vocabulary and Business Rules which can be understood by everyone working throughout the business spectrum. Each business is governed by business rules which are constrained by the regulation policy set up by the policy guidelines of the organization and government regulations set up on the organization. Business rules are specified in documents like user guides, requirement documents, terms and conditions, do's and don'ts. Typically a Business Analyst interprets the document and manually extracts rules based on his understanding which leads to potential discrepancies, ambiguities and quality issues in the software system. To minimize such errors, in this paper we present an unsupervised approach to automatically extract SBVR vocabularies and rules from domain-specific business documents. We also present our initial results and comparative study with our earlier approach.","PeriodicalId":382901,"journal":{"name":"Proceedings of the 13th Innovations in Software Engineering Conference on Formerly known as India Software Engineering Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114313095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Towards a Model-Driven Product Line Engineering Process: An Industrial Case Study 面向模型驱动的产品线工程过程:一个工业案例研究

Proceedings of the 13th Innovations in Software Engineering Conference on Formerly known as India Software Engineering Conference Pub Date : 2020-02-27 DOI: 10.1145/3385032.3385043

Damir Bilić, Daniel Sundmark, W. Afzal, P. Wallin, Adnan Causevic, Christoffer Amlinger, Dani Barkah

{"title":"Towards a Model-Driven Product Line Engineering Process: An Industrial Case Study","authors":"Damir Bilić, Daniel Sundmark, W. Afzal, P. Wallin, Adnan Causevic, Christoffer Amlinger, Dani Barkah","doi":"10.1145/3385032.3385043","DOIUrl":"https://doi.org/10.1145/3385032.3385043","url":null,"abstract":"Many organizations developing software-intensive systems face challenges with high product complexity and large numbers of variants. In order to effectively maintain and develop these product variants, Product-Line Engineering methods are often considered, while Model-based Systems Engineering practices are commonly utilized to tackle product complexity. In this paper, we report on an industrial case study concerning the ongoing adoption of Product Line Engineering in the Model-based Systems Engineering environment at Volvo Construction Equipment (Volvo CE) in Sweden. In the study, we identify and define a Product Line Engineering process that is aligned with Model-based Systems Engineering activities at the engines control department of Volvo CE. Furthermore, we discuss the implications of the migration from the current development process to a Model-based Product Line Engineering-oriented process. This process, and its implications, are derived by conducting and analyzing interviews with Volvo CE employees, inspecting artifacts and documents, and by means of participant observation. Based on the results of a first system model iteration, we were able to document how Model-based Systems Engineering and variability modeling will affect development activities, work products and stakeholders of the work products.","PeriodicalId":382901,"journal":{"name":"Proceedings of the 13th Innovations in Software Engineering Conference on Formerly known as India Software Engineering Conference","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122686116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Language Support for Multi Agent Reinforcement Learning 多智能体强化学习的语言支持

Proceedings of the 13th Innovations in Software Engineering Conference on Formerly known as India Software Engineering Conference Pub Date : 2020-02-27 DOI: 10.1145/3385032.3385041

T. Clark, B. Barn, V. Kulkarni, Souvik Barat

引用次数: 4