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A Report on the PhD Symposium at ISEC 2021 ISEC 2021博士研讨会报告
14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference) Pub Date : 2021-02-25 DOI: 10.1145/3452383.3453713
Venkatesh Choppella, M. Satpathy
{"title":"A Report on the PhD Symposium at ISEC 2021","authors":"Venkatesh Choppella, M. Satpathy","doi":"10.1145/3452383.3453713","DOIUrl":"https://doi.org/10.1145/3452383.3453713","url":null,"abstract":"The annual ACM Innovations in Software Engineering Conference (ISEC) held its 14th edition online during 25–27th February, 2021. Since 2019, the conference has included a PhD symposium. The aim of the symposium is to offer PhD scholars in early stages of their research work a platform to present their work and also to get feedback from the audience. This report from the symposium co-chairs briefly summarises the effort involved in organising the symposium and a brief summary of the papers presented at the symposium.","PeriodicalId":378352,"journal":{"name":"14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131406669","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: 0
Towards Recommendations from User-specific Insights based on Historical Legal Cases 基于历史法律案例的用户特定见解的建议
14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference) Pub Date : 2021-02-25 DOI: 10.1145/3452383.3452395
Krati Saxena, Sagar Sunkle, V. Kulkarni
{"title":"Towards Recommendations from User-specific Insights based on Historical Legal Cases","authors":"Krati Saxena, Sagar Sunkle, V. Kulkarni","doi":"10.1145/3452383.3452395","DOIUrl":"https://doi.org/10.1145/3452383.3452395","url":null,"abstract":"When people find themselves engaged in legal situations, they may seek professional advice. For the full advantage of the client, legal professionals can use their experience or refer to relevant previous judicial evidence to prescribe the course of action. Comprehending prior legal proceedings and contextualizing the insights to a given user profile is a challenging task. Earlier work has primarily concentrated on the case records and recommended material retrieval, judgment, and law sources recommendations. In contrast, we present a template-based recommendation system based on the user’s profile and insights obtained from similar past cases. We use natural language processing techniques to parse the relevant text to create user-specific legal insights. Our system uses these insights to populate a template to provide the final recommendations to the user. We demonstrate the system with two case studies: parental alienation and divorce cases. Our system shows promising results in creating meaningful insights and recommendations.","PeriodicalId":378352,"journal":{"name":"14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference)","volume":"19 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132812106","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: 2
A Report on the Second International Workshop on Software Engineering for Artificial Intelligence (SE4AI 2021) 第二届人工智能软件工程国际研讨会(SE4AI 2021)报告
14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference) Pub Date : 2021-02-25 DOI: 10.1145/3452383.3453718
S. Bandyopadhyay, Swaroop Joshi
{"title":"A Report on the Second International Workshop on Software Engineering for Artificial Intelligence (SE4AI 2021)","authors":"S. Bandyopadhyay, Swaroop Joshi","doi":"10.1145/3452383.3453718","DOIUrl":"https://doi.org/10.1145/3452383.3453718","url":null,"abstract":"Computers control increasing numbers of objects in our daily life: phones, aircraft, cars, buildings, manufacturing machines, musical instruments, etc. In these so-called cyber-physical systems (CPSs), computers interact directly with the physical world through sensors and actuators. Those systems are becoming the key infrastructure and backbone of our society and are at the heart of revolutionary changes in our daily lives and economy. The sophistication and complexity of CPSs keep increasing since they must realize more functions with limited resources, which makes them increasingly difficult to build and manage. In particular, the cyber (software) part of these systems is growing rapidly and has become a key part of CPS, as they are the basis of operation for these systems. Artificial intelligence (AI) has a fundamental influence on the economy, administration, and society. AI is now also affecting software engineering, providing robust approaches for software development to analyze and evaluate complex software and its development processes. Repository mining, machine learning, big data analytics, and software visualization enable targeted insights and powerful predictions for software quality, software development, and software project management. The research community has shown a keen interest in this emerging field. This report presents a summary of the workshop held on February 2021 at KIT Bhubaneswar, co-located with the 14th Innovations in Software Engineering Conference (ISEC 2021).","PeriodicalId":378352,"journal":{"name":"14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference)","volume":"756 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133770604","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: 0
What’s Wrong with ”Users” “用户”有什么错?
14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference) Pub Date : 2021-02-25 DOI: 10.1145/3452383.3452407
B. Selić
{"title":"What’s Wrong with ”Users”","authors":"B. Selić","doi":"10.1145/3452383.3452407","DOIUrl":"https://doi.org/10.1145/3452383.3452407","url":null,"abstract":"The term “user” is quite pervasive in software engineering discussions and documents when referring to individuals that interact with a given software system. Unfortunately, since there can be many different categories of “users”, with different goals and different ways of interacting with software, this term tends to obscure these important distinctions. To a large part, this problem can be attributed to the unique culture of software programming – which emphasizes code to the exclusion of other important considerations. In this keynote talk, we explore the nature of this culture and overview some innovative software engineering methods and research initiatives designed to avoid these issues.","PeriodicalId":378352,"journal":{"name":"14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122383677","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: 0
SQL Injection Vulnerability Identification from Text 从文本识别SQL注入漏洞
14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference) Pub Date : 2021-02-25 DOI: 10.1145/3452383.3452405
Dhruv Parashar, L. Sanagavarapu, Y. R. Reddy
{"title":"SQL Injection Vulnerability Identification from Text","authors":"Dhruv Parashar, L. Sanagavarapu, Y. R. Reddy","doi":"10.1145/3452383.3452405","DOIUrl":"https://doi.org/10.1145/3452383.3452405","url":null,"abstract":"Increasing usage of Information Technology (IT) applications in distributed environment is leading to an increase in security exploits. Vulnerabilities related information is also available on open web in an unstructured format that developers may leverage to fix security weaknesses in their IT applications. SQL Injection (SQLi) is one of the topmost vulnerabilities impacting the security of IT applications. We propose an approach to identify information about SQLi in text using text summarization to process any length of text, and a supervised machine learning model to automate the classification of SQLi. To validate the proposed approach, we created a dataset of 100,019 entries that includes 50,010 entries of SQLi from the National Vulnerability Database, 25,010 near negatives related to other cyber security vulnerabilities, and 24,999 data entries that are unrelated to cyber security. The selected Random Forest model was also tested identify SQLi from Web and Twitter text.","PeriodicalId":378352,"journal":{"name":"14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122733047","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: 5
An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction SMOTE不同变体对Web服务反模式预测改进效果的实证研究
14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference) Pub Date : 2021-02-25 DOI: 10.1145/3452383.3452410
Sahithi Tummalapalli, L. Kumar, Lalita Bhanu Murthy Neti, S. K. Rath
{"title":"An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction","authors":"Sahithi Tummalapalli, L. Kumar, Lalita Bhanu Murthy Neti, S. K. Rath","doi":"10.1145/3452383.3452410","DOIUrl":"https://doi.org/10.1145/3452383.3452410","url":null,"abstract":"In today’s world, IT professionals must ensure that all enterprise applications are running smoothly and are communicating with each other. Service-Oriented Architecture(SOA) provides the organization with a framework that makes the management of information technology systems affordable and manageable. Service-Based Systems(SBS) need to adapt themselves over time to fit in the new client prerequisites. These outcomes in the weakening of the software systems quality and plan and may cause the emergence of poor solutions called Anti-patterns. An anti-pattern is a repeated application of code or design that leads to a bad outcome. The research uncovered that the presence of anti-patterns thwarts the software systems advancement and maintenance. The early prediction of these anti-pattern using extracted features from source code helps to reduce the software system’s maintenance and enhance the quality of the software. This present work’s ideology is to investigate the viability of different data sampling technique variants empirically and the machine learning technique, Naive Bayes, in the anti-patterns prediction in web services.","PeriodicalId":378352,"journal":{"name":"14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124799051","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: 0
Software Engineering for the Uncertain World 不确定世界的软件工程
14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference) Pub Date : 2021-02-25 DOI: 10.1145/3452383.3453717
V. Kulkarni
{"title":"Software Engineering for the Uncertain World","authors":"V. Kulkarni","doi":"10.1145/3452383.3453717","DOIUrl":"https://doi.org/10.1145/3452383.3453717","url":null,"abstract":"Traditionally, software systems have been used to derive mechanical advantage through automation. The underlying assumptions being: objectives for the software system and the environment within which it will operate will remain largely unchanged; and the required information is available fully and with total certainty. Software development is then viewed as a refinement exercise from high-level human-understandable requirements to a deterministic machine-executable implementation. However, for a variety of reasons, these assumptions no longer hold. This calls for a new look at engineering software that’s expected to deliver on the stated objectives in an everchanging environment characterized with partial information and inherent uncertainty. The workshop aims to brainstorm this emerging challenge of ”Software Engineering for the Uncertain World”.","PeriodicalId":378352,"journal":{"name":"14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference)","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121829141","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: 0
Empirical Analysis of Greedy, GE and GRE Heuristics 贪心、GE和GRE启发式的实证分析
14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference) Pub Date : 2021-02-25 DOI: 10.1145/3452383.3452389
Amit Goyal, R. Shyamasundar, G. Sivakumar, R. Jetley, S. Ramaswamy
{"title":"Empirical Analysis of Greedy, GE and GRE Heuristics","authors":"Amit Goyal, R. Shyamasundar, G. Sivakumar, R. Jetley, S. Ramaswamy","doi":"10.1145/3452383.3452389","DOIUrl":"https://doi.org/10.1145/3452383.3452389","url":null,"abstract":"Whenever a software evolves, regression testing needs to be performed which ensures evolution does not affect the existing software. Test suite minimization is one of the regression testing techniques which takes a test suite and provides a minimized test suite (representative set) which is sufficient to cover all the requirements. This significantly helps in reducing the testing cost, effort and time. In this paper, we perform an empirical study on standard minimization techniques: Greedy, Greedy Essential (GE) and Greedy Redundant Essential (GRE), to compare their minimized test suite size (output size), and their run time to calculate the minimized test suite, with varying percentage of essential test cases. We assume that the number of requirements that a test case satisfies is a random variable which follows a normal distribution. This study analyzes trends in both output size and run time of the heuristics and enables us to set guidelines for the testing team to choose appropriate heuristics for performing the test suite minimization for all possible values of ratio of overlapping (defined as the average number of test cases which satisfy a requirement).","PeriodicalId":378352,"journal":{"name":"14th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128775635","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: 0
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