2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER)最新文献_第3页

Combining Spreadsheet Smells for Improved Fault Prediction 结合电子表格气味改进故障预测

2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER) Pub Date : 2018-05-26 DOI: 10.1145/3183399.3183402

Patrick W. Koch, Konstantin Schekotihin, D. Jannach, Birgit Hofer, F. Wotawa

引用次数: 3

Dronology: An Incubator for Cyber-Physical Systems Research 无人机学:网络物理系统研究的孵化器

2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER) Pub Date : 2018-04-06 DOI: 10.1145/3183399.3183408

J. Cleland-Huang, Michael Vierhauser, Sean Bayley

{"title":"Dronology: An Incubator for Cyber-Physical Systems Research","authors":"J. Cleland-Huang, Michael Vierhauser, Sean Bayley","doi":"10.1145/3183399.3183408","DOIUrl":"https://doi.org/10.1145/3183399.3183408","url":null,"abstract":"Research in the area of Cyber-Physical Systems (CPS) is hampered by the lack of available project environments in which to explore open challenges and to propose and rigorously evaluate solutions. In this \"New Ideas and Emerging Results\" paper we introduce a CPS research incubator – based upon a system, and its associated project environment, for managing and coordinating the flight of small Unmanned Aerial Systems (sUAS). The research incubator provides a new community resource, making available diverse, high-quality project artifacts produced across multiple releases of a safety-critical CPS. It enables researchers to experiment with their own novel solutions within a fully-executable runtime environment that supports both high-fidelity sUAS simulations as well as physical sUAS. Early collaborators from the software engineering community have shown broad and enthusiastic support for the project and its role as a research incubator, and have indicated their intention to leverage the environment to address their own research areas of goal modeling, runtime adaptation, safety-assurance, and software evolution.","PeriodicalId":212579,"journal":{"name":"2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121291339","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: 52

Hierarchical Learning of Cross-Language Mappings Through Distributed Vector Representations for Code 通过代码的分布式向量表示实现跨语言映射的分层学习

2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER) Pub Date : 2018-03-13 DOI: 10.1145/3183399.3183427

Nghi D. Q. Bui, Lingxiao Jiang

{"title":"Hierarchical Learning of Cross-Language Mappings Through Distributed Vector Representations for Code","authors":"Nghi D. Q. Bui, Lingxiao Jiang","doi":"10.1145/3183399.3183427","DOIUrl":"https://doi.org/10.1145/3183399.3183427","url":null,"abstract":"Translating a program written in one programming language to another can be useful for software development tasks that need functionality implementations in different languages. Although past studies have considered this problem, they may be either specific to the language grammars, or specific to certain kinds of code elements (e.g., tokens, phrases, API uses). This paper proposes a new approach to automatically learn cross-language representations for various kinds of structural code elements that may be used for program translation. Our key idea is two folded: First, we normalize and enrich code token streams with additional structural and semantic information, and train cross-language vector representations for the tokens (a.k.a. shared embeddings based on word2vec, a neural-network-based technique for producing word embeddings; Second, hierarchically from bottom up, we construct shared embeddings for code elements of higher levels of granularity (e.g., expressions, statements, methods) from the embeddings for their constituents, and then build mappings among code elements across languages based on similarities among embeddings. Our preliminary evaluations on about 40,000 Java and C# source files from 9 software projects show that our approach can automatically learn shared embeddings for various code elements in different languages and identify their cross-language mappings with reasonable Mean Average Precision scores. When compared with an existing tool for mapping library API methods, our approach identifies many more mappings accurately. The mapping results and code can be accessed at https://github.com/bdqnghi/hierarchical-programming-language-mapping) We believe that our idea for learning cross-language vector representations with code structural information can be a useful step towards automated program translation.","PeriodicalId":212579,"journal":{"name":"2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121954209","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: 10

Code Review Comments: Language Matters 代码审查评论:语言问题

2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER) Pub Date : 2018-03-06 DOI: 10.1145/3183399.3183411

V. Efstathiou, D. Spinellis

引用次数: 13

Replication Studies Considered Harmful 被认为有害的复制研究

2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER) Pub Date : 2018-02-13 DOI: 10.1145/3183399.3183423

M. Shepperd

引用次数: 12

Mining Container Image Repositories for Software Configuration and Beyond 为软件配置及其他用途挖掘容器映像存储库

2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER) Pub Date : 2018-02-10 DOI: 10.1145/3183399.3183403

Tianyin Xu, D. Marinov

引用次数: 33

Explainable Software Analytics 可解释软件分析

2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER) Pub Date : 2018-02-02 DOI: 10.1145/3183399.3183424

K. Dam, T. Tran, A. Ghose

引用次数: 96

Self-Adaptive Static Analysis 自适应静态分析

2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER) Pub Date : 2017-10-20 DOI: 10.1145/3183399.3183401

E. Bodden

{"title":"Self-Adaptive Static Analysis","authors":"E. Bodden","doi":"10.1145/3183399.3183401","DOIUrl":"https://doi.org/10.1145/3183399.3183401","url":null,"abstract":"Static code analysis is a powerful approach to detect quality deficiencies such as performance bottlenecks, safety violations or security vulnerabilities already during a software system's implementation. Yet, as current software systems continue to grow, current static-analysis systems more frequently face the problem of insufficient scalability. We argue that this is mainly due to the fact that current static analyses are implemented fully manually, often in general-purpose programming languages such as Java or C, or in declarative languages such as Datalog. This design choice predefines the way in which the static analysis evaluates, and limits the optimizations and extensions static-analysis designers can apply. To boost scalability to a new level, we propose to fuse static-analysis with just-in-time-optimization technology, introducing for the first time static analyses that are managed and inherently self-adaptive. Those analyses automatically adapt themselves to yield a performance/precision tradeoff that is optimal with respect to the analyzed software system and to the analysis itself. Self-adaptivity is enabled by the novel idea of designing a dedicated intermediate representation, not for the analyzed program but for the analysis itself. This representation allows for an automatic optimization and adaptation of the analysis code, both ahead-of-time (through static analysis of the static analysis) as well as just-in-time during the analysis' execution, similar to just-in-time compilers.","PeriodicalId":212579,"journal":{"name":"2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126694124","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: 10