Identifier naming is one of the main sources of information in program comprehension, where a significant portion of software development time is spent. Previous research shows that similarity in identifier names could potentially hinder code comprehension, and subsequently code maintenance and evolution. In this paper, we present an open-source tool for assessing confusing naming combinations in Python programs. The tool which we call Namesake, flags confusing identifier naming combinations that are similar in orthography (word form), phonology (pronunciation), or semantics (meaning). Our tool extracts identifier names from the abstract syntax tree of a program, splits compound names, and evaluates the similarity of each pair in orthography, phonology, and semantics. Problematic identifier combinations are flagged to programmers along with their line numbers. In combination with existing coding style checkers, Namesake can provide programmers with an additional resource to enhance identifier naming quality. The tool can be integrated easily in DevOps pipelines for automated checking and identifier naming appraisal.
{"title":"Namesake: A Checker of Lexical Similarity in Identifier Names","authors":"N. A. Madi","doi":"10.1145/3551349.3560441","DOIUrl":"https://doi.org/10.1145/3551349.3560441","url":null,"abstract":"Identifier naming is one of the main sources of information in program comprehension, where a significant portion of software development time is spent. Previous research shows that similarity in identifier names could potentially hinder code comprehension, and subsequently code maintenance and evolution. In this paper, we present an open-source tool for assessing confusing naming combinations in Python programs. The tool which we call Namesake, flags confusing identifier naming combinations that are similar in orthography (word form), phonology (pronunciation), or semantics (meaning). Our tool extracts identifier names from the abstract syntax tree of a program, splits compound names, and evaluates the similarity of each pair in orthography, phonology, and semantics. Problematic identifier combinations are flagged to programmers along with their line numbers. In combination with existing coding style checkers, Namesake can provide programmers with an additional resource to enhance identifier naming quality. The tool can be integrated easily in DevOps pipelines for automated checking and identifier naming appraisal.","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72403643","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}
Pub Date : 2017-10-30DOI: 10.1109/ASE.2017.8115612
A. Deursen
DevOps approaches software engineering by advocating the removal of borders between development and operations. DevOps emphasizes operational resilience, continuous feedback from operations back to development, and rapid deployment of features developed. In this talk we will look at selected (automation) aspects related to DevOps, based on our collaborations with various industrial partners. For example, we will explore (automated) methods for analyzing log data to support deployments and monitor REST API integrations, (search-based) test input generation for reproducing crashes and testing complex database queries, and zero downtime database schema evolution and deployment. We will close by looking at borders beyond those between development and operations, in order to see whether there are other borders we need to remove in order to strengthen the impact of software engineering research.
{"title":"Software engineering without borders","authors":"A. Deursen","doi":"10.1109/ASE.2017.8115612","DOIUrl":"https://doi.org/10.1109/ASE.2017.8115612","url":null,"abstract":"DevOps approaches software engineering by advocating the removal of borders between development and operations. DevOps emphasizes operational resilience, continuous feedback from operations back to development, and rapid deployment of features developed. In this talk we will look at selected (automation) aspects related to DevOps, based on our collaborations with various industrial partners. For example, we will explore (automated) methods for analyzing log data to support deployments and monitor REST API integrations, (search-based) test input generation for reproducing crashes and testing complex database queries, and zero downtime database schema evolution and deployment. We will close by looking at borders beyond those between development and operations, in order to see whether there are other borders we need to remove in order to strengthen the impact of software engineering research.","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85861122","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}
Pub Date : 2017-10-30DOI: 10.1109/ASE.2017.8115611
Jiawei Han
The real-world big data are largely unstructured, interconnected text data. One of the grand challenges is to turn such massive unstructured text data into structured, actionable knowledge. We propose a text mining approach that requires only distant or minimal supervision but relies on massive text data. We show quality phrases can be mined from such massive text data, types can be extracted from massive text data with distant supervision, and entities/attributes/values can be discovered by meta-path directed pattern discovery. We show text-rich and structure-rich networks can be constructed from massive unstructured data. Finally, we speculate whether such a paradigm could be useful for turning massive software repositories into multi-dimensional structures to help searching and mining software repositories.
{"title":"Mining structures from massive text data: will it help software engineering?","authors":"Jiawei Han","doi":"10.1109/ASE.2017.8115611","DOIUrl":"https://doi.org/10.1109/ASE.2017.8115611","url":null,"abstract":"The real-world big data are largely unstructured, interconnected text data. One of the grand challenges is to turn such massive unstructured text data into structured, actionable knowledge. We propose a text mining approach that requires only distant or minimal supervision but relies on massive text data. We show quality phrases can be mined from such massive text data, types can be extracted from massive text data with distant supervision, and entities/attributes/values can be discovered by meta-path directed pattern discovery. We show text-rich and structure-rich networks can be constructed from massive unstructured data. Finally, we speculate whether such a paradigm could be useful for turning massive software repositories into multi-dimensional structures to help searching and mining software repositories.","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76389883","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}
Pub Date : 2017-10-30DOI: 10.1109/ASE.2017.8115610
G. Holzmann
Sadly we know that virtually all software of any significance has residual errors. Some of those errors can be traced back to requirements flaws or faulty design assumptions; others are just plain coding mistakes. Static analyzers have become quite good at spotting these types of errors, but they don’t scale very well. If, for instance, you need to check a code base of a few million lines you better be prepared to wait for the result; sometimes hours. Eyeballing a large code base to find flaws is clearly not an option, so what is missing is a static analysis capability that can be used to answer common types of queries interactively, even for large code bases. I will describe the design and use of such a tool in this talk.
{"title":"Cobra - an interactive static code analyzer","authors":"G. Holzmann","doi":"10.1109/ASE.2017.8115610","DOIUrl":"https://doi.org/10.1109/ASE.2017.8115610","url":null,"abstract":"Sadly we know that virtually all software of any significance has residual errors. Some of those errors can be traced back to requirements flaws or faulty design assumptions; others are just plain coding mistakes. Static analyzers have become quite good at spotting these types of errors, but they don’t scale very well. If, for instance, you need to check a code base of a few million lines you better be prepared to wait for the result; sometimes hours. Eyeballing a large code base to find flaws is clearly not an option, so what is missing is a static analysis capability that can be used to answer common types of queries interactively, even for large code bases. I will describe the design and use of such a tool in this talk.","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89677710","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}
Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as a resource of exceptional scale and utility. It represents a vast investment of manual effort and judgment: a huge, constantly evolving tapestry of concepts and relations that is being applied to a host of tasks. This talk focuses on the process of ”wikification”; that is, automatically and judiciously augmenting a plain-text document with pertinent hyperlinks to Wikipedia articlesas though the document were itself a Wikipedia article. I first describe how Wikipedia can be used to determine semantic relatedness between concepts. Then I explain how to wikify documents by exploiting Wikipedia’s internal hyperlinks for relational information and their anchor texts as lexical information. Data mining techniques are used throughout to optimize the models involved.
{"title":"Wikipedia and How to Use It for Semantic Document Representation","authors":"I. Witten","doi":"10.1109/WI-IAT.2010.303","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.303","url":null,"abstract":"Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as a resource of exceptional scale and utility. It represents a vast investment of manual effort and judgment: a huge, constantly evolving tapestry of concepts and relations that is being applied to a host of tasks. This talk focuses on the process of ”wikification”; that is, automatically and judiciously augmenting a plain-text document with pertinent hyperlinks to Wikipedia articlesas though the document were itself a Wikipedia article. I first describe how Wikipedia can be used to determine semantic relatedness between concepts. Then I explain how to wikify documents by exploiting Wikipedia’s internal hyperlinks for relational information and their anchor texts as lexical information. Data mining techniques are used throughout to optimize the models involved.","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83786749","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}
Swapneel Sheth, Nipun Arora, Christian Murphy, Gail Kaiser
Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively little research, however, in the area of generalized system architectures for recommendation systems. In this paper, we introduce weHelp: a reference architecture for social recommender systems - systems where recommendations are derived automatically from the aggregate of logged activities conducted by the system's users. Our architecture is designed to be application and domain agnostic. We feel that a good reference architecture will make designing a recommendation system easier; in particular, weHelp aims to provide a practical design template to help developers design their own well-modularized systems.
{"title":"weHelp: A Reference Architecture for Social Recommender Systems.","authors":"Swapneel Sheth, Nipun Arora, Christian Murphy, Gail Kaiser","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively little research, however, in the area of generalized system architectures for recommendation systems. In this paper, we introduce <i>weHelp</i>: a reference architecture for social recommender systems - systems where recommendations are derived automatically from the aggregate of logged activities conducted by the system's users. Our architecture is designed to be application and domain agnostic. We feel that a good reference architecture will make designing a recommendation system easier; in particular, weHelp aims to provide a practical design template to help developers design their own well-modularized systems.</p>","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4181366/pdf/nihms200645.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32722849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Swapneel Sheth, Nipun Arora, Christian Murphy, G. Kaiser
Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively little research, however, in the area of generalized system architectures for recommendation systems. In this paper, we introduce weHelp: a reference architecture for social recommender systems - systems where recommendations are derived automatically from the aggregate of logged activities conducted by the system's users. Our architecture is designed to be application and domain agnostic. We feel that a good reference architecture will make designing a recommendation system easier; in particular, weHelp aims to provide a practical design template to help developers design their own well-modularized systems.
{"title":"weHelp: A Reference Architecture for Social Recommender Systems","authors":"Swapneel Sheth, Nipun Arora, Christian Murphy, G. Kaiser","doi":"10.7916/D8F76KD5","DOIUrl":"https://doi.org/10.7916/D8F76KD5","url":null,"abstract":"Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively little research, however, in the area of generalized system architectures for recommendation systems. In this paper, we introduce weHelp: a reference architecture for social recommender systems - systems where recommendations are derived automatically from the aggregate of logged activities conducted by the system's users. Our architecture is designed to be application and domain agnostic. We feel that a good reference architecture will make designing a recommendation system easier; in particular, weHelp aims to provide a practical design template to help developers design their own well-modularized systems.","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71366039","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}
Pub Date : 2009-01-01DOI: 10.1007/978-1-84882-314-3
M. Ben-Ari
{"title":"Ada for Software Engineers - Second Edition with Ada 2005","authors":"M. Ben-Ari","doi":"10.1007/978-1-84882-314-3","DOIUrl":"https://doi.org/10.1007/978-1-84882-314-3","url":null,"abstract":"","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86849222","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}
M. Caporuscio, A. Marco, L. Mariani, H. Muccini, A. Polini, O. Shehory
An increasingly important requirement for modern software-intensive systems is the ability of evolving at run-time, to address the need to dynamically add/remove features, as well as to protect the system from incoming attacks or failures. Due to the new requirement of dynamicity, portions of the system can be added and removed at run-time so giving rise to dynamic, evolving, and unpredictable configurations, implemented via middleware-based technologies, plugin-based infrastructures, or service oriented paradigms. The ARAMIS workshop wants to provide a forum for analyzing the new challenges and issues related to evolving at run-time systems. In particular, the main objective is to analyze such topics from three different, but correlated, perspectives: verification and validation of evolving at run-time systems, automatic context management, and self-healing solutions for engineering such systems.
{"title":"ARAMIS 2008: The First Int. Workshop on Automated engineeRing of Autonomic and run-tiMe evolvIng Systems","authors":"M. Caporuscio, A. Marco, L. Mariani, H. Muccini, A. Polini, O. Shehory","doi":"10.1109/ASE.2008.99","DOIUrl":"https://doi.org/10.1109/ASE.2008.99","url":null,"abstract":"An increasingly important requirement for modern software-intensive systems is the ability of evolving at run-time, to address the need to dynamically add/remove features, as well as to protect the system from incoming attacks or failures. Due to the new requirement of dynamicity, portions of the system can be added and removed at run-time so giving rise to dynamic, evolving, and unpredictable configurations, implemented via middleware-based technologies, plugin-based infrastructures, or service oriented paradigms. The ARAMIS workshop wants to provide a forum for analyzing the new challenges and issues related to evolving at run-time systems. In particular, the main objective is to analyze such topics from three different, but correlated, perspectives: verification and validation of evolving at run-time systems, automatic context management, and self-healing solutions for engineering such systems.","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86950148","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}
The First International Workshop on Social Software Engineering and Applications discusses various topics related to the engineering and use of social software. The aim of the workshop is to create a scientific foundation for social software and to form a research community that can focus on the technological and technical aspects of the movement.
{"title":"First International Workshop on Social Software Engineering and Applications (SoSEA 2008)","authors":"I. Hammouda, J. Bosch, M. Jazayeri, T. Mikkonen","doi":"10.1109/ASE.2008.100","DOIUrl":"https://doi.org/10.1109/ASE.2008.100","url":null,"abstract":"The First International Workshop on Social Software Engineering and Applications discusses various topics related to the engineering and use of social software. The aim of the workshop is to create a scientific foundation for social software and to form a research community that can focus on the technological and technical aspects of the movement.","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82161477","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}
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