2010 IEEE 18th International Conference on Program Comprehension最新文献_第3页

Aiding Software Maintenance with Copy-and-Paste Clone-Awareness 通过复制-粘贴克隆意识帮助软件维护

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.22

P. Jablonski, Daqing Hou

引用次数: 27

Utilizing Web Search Engines for Program Analysis 利用网络搜索引擎进行程序分析

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.26

D. Ratiu, L. Heinemann

{"title":"Utilizing Web Search Engines for Program Analysis","authors":"D. Ratiu, L. Heinemann","doi":"10.1109/ICPC.2010.26","DOIUrl":"https://doi.org/10.1109/ICPC.2010.26","url":null,"abstract":"Programming involves representing domain concepts by using programming abstractions. In object-oriented programs, concepts and relations of the business domain are represented as classes, attributes and methods. However, the concepts and relations that logically belong together are scattered across different modules, interleaved with technical concepts, and distorted due to implementation details. In this paper, we present an automatic method to identify logically related concepts and the relations among them. To achieve this, we systematically transform program identifiers into fragments of natural language sentences and check whether these sentence fragments are meaningful for humans. In order to automatically perform such checks, we use the World Wide Web as a knowledge base that contains a huge number of meaningful texts, and use the Google web search engine to validate the meaningfulness of these sentences. If the search engine returns a sufficient number of hits, we discovered a piece of knowledge in the code. By systematically applying this method, we obtain a condensed form of the knowledge embodied in the program which is an enabler for automatic analyses. We present our experience with several use-cases: (1) assessing the meaningfulness of identifiers, (2) extracting complex concepts from compound identifiers, (3) extracting a meaningful taxonomy from the class hierarchy, and (4) extracting complex conceptual relations from the code. We report on our observations during the analysis of real world Java code, discuss the limitations of our approach and sketch extension possibilities.","PeriodicalId":110667,"journal":{"name":"2010 IEEE 18th International Conference on Program Comprehension","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121802628","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: 1

Recovering Traceability Links between Business Process and Software System Components 恢复业务流程和软件系统组件之间的可追溯性链接

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.54

Lerina Aversano, F. Marulli, M. Tortorella

引用次数: 5

Featureous: A Tool for Feature-Centric Analysis of Java Software 功能:一个以功能为中心的Java软件分析工具

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.27

Andrzej Olszak, B. Jørgensen

引用次数: 8

DepDigger: A Tool for Detecting Complex Low-Level Dependencies DepDigger:一个检测复杂的低级依赖关系的工具

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.52

Dirk Beyer, Ashgan Fararooy

引用次数: 6

Influence of Synchronized Domain Visualizations on Program Comprehension 同步领域可视化对程序理解的影响

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.21

Nuno Oliveira, M. Pereira, Daniela Carneiro da Cruz, M. Beron

引用次数: 1

An Exploratory Study of Factors Influencing Change Entropy 变化熵影响因素的探索性研究

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.32

G. Canfora, L. Cerulo, M. D. Penta, Francesco Pacilio

{"title":"An Exploratory Study of Factors Influencing Change Entropy","authors":"G. Canfora, L. Cerulo, M. D. Penta, Francesco Pacilio","doi":"10.1109/ICPC.2010.32","DOIUrl":"https://doi.org/10.1109/ICPC.2010.32","url":null,"abstract":"Software systems continuously change for various reasons, such as adding new features, performing bug fixing, or doing some refactoring activities. Such changes may either increase the source code complexity and disorganization, or help to reduce it. Developers apply adequate design principles and assets, including design patterns, to make software resilient to changes and control complexity. This paper empirically investigates the relationship of source code complexity and disorganization-measured using source code entropy-with three factors: different kinds of changes occurring to software systems, the presence of design patterns in the source code, and the number of contributors that modified the source code file. Results of an exploratory study carried out on an interval of the life-time span of two open source systems, ArgoUML and Eclipse-JDT, suggest that (i) different kinds of changes-namely refactorings and other kinds of changes-may contribute either negatively or positively to the entropy, (ii) the use of design patterns does not necessarily help to mitigate code degradation-thus confirming previous findings on the role played by design patterns-and (iii) entropy tends to increase with the number of file committers.","PeriodicalId":110667,"journal":{"name":"2010 IEEE 18th International Conference on Program Comprehension","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124390278","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: 14

Unibench: A Tool for Automated and Collaborative Benchmarking Unibench:自动化和协作基准测试的工具

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.36

Daniel Rolls, C. Joslin, S. Scholz

引用次数: 9

Using the Kleinberg Algorithm and Vector Space Model for Software System Clustering Kleinberg算法与向量空间模型在软件系统聚类中的应用

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.17

G. Scanniello, Anna D'Amico, Carmela D'Amico, Teodora D'Amico

{"title":"Using the Kleinberg Algorithm and Vector Space Model for Software System Clustering","authors":"G. Scanniello, Anna D'Amico, Carmela D'Amico, Teodora D'Amico","doi":"10.1109/ICPC.2010.17","DOIUrl":"https://doi.org/10.1109/ICPC.2010.17","url":null,"abstract":"Clustering based approaches are generally difficult to use in practice since they need a significant human interaction for recovering software architectures, are conceived for a specific programming language, and very often do not use design knowledge (e.g., the implemented architectural model). In this paper we present a clustering based approach to recover the implemented architecture of software systems with a hierarchical structure and implemented with any object oriented programming language. The approach is based on the combination of structural and lexical dimensions. The structural dimension is used to decompose a software system into layers (i.e., horizontal decomposition), while the lexical dimension is then employed to partition each layer (i.e., vertical decomposition) into software modules. Layers are identified using a well known and widely employed link analysis algorithm, i.e., the Kleinberg algorithm, while Vector Space Model is used to vertically decompose the layers. To assess the approach and the underlying techniques, we also present a prototype of a supporting tool and the results from a case study conducted on subsequent versions of three open source Java software systems.","PeriodicalId":110667,"journal":{"name":"2010 IEEE 18th International Conference on Program Comprehension","volume":"90 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132790736","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: 47

Multi-touch for Software Exploration 软件探索的多点触控

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.30

Sandro Boccuzzo, H. Gall

引用次数: 3