Investigating naming convention adherence in Java references

Butler, Simon; Wermelinger, Michel; Yu, Yijun

doi:10.1109/icsm.2015.7332450

Cited by 20 publications

(11 citation statements)

References 11 publications

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“…He investigates the structure of Java class names and identifies common naming patterns. Butler et al [10] conduct a survey of the forms of Java reference names and then use the study outcome to investigate naming convention adherence in Java references [41]. Arnaoudova et al [42,43] defined source code Linguistic Antipatterns (LAs) that discuss poor practices in naming and choice of identifiers and defined a catalog of 17 types of LAs related to inconsistencies.…”

Section: Standards For Methods Namesmentioning

confidence: 99%

On the Naming of Methods: A Survey of Professional Developers

Alsuhaibani

Newman

Decker

et al. 2021

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)

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This paper describes the results of a large (+1100 responses) survey of professional software developers concerning standards for naming source code methods. The various standards for source code method names are derived from and supported in the software engineering literature. The goal of the survey is to determine if there is a general consensus among developers that the standards are accepted and used in practice. Additionally, the paper examines factors such as years of experience and programming language knowledge in the context of survey responses. The survey results show that participants very much agree about the importance of various standards and how they apply to names. Additionally, the survey shows that years of experience and the programming language the participants use has almost no effect on their responses.

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Section: Standards For Methods Namesmentioning

confidence: 99%

On the Naming of Methods: A Survey of Professional Developers

Alsuhaibani

Newman

Decker

et al. 2021

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)

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“…Sridhara et al [30] generate descriptive summary comments for Java methods. Besides those work, some studies analyze the project source code and apply its abstract syntax tree information to code or document search [31][32][33][34][35][36][37]. In this paper, we use 7 kinds of features to represent our learning example and train our classifier.…”

Section: Related Workmentioning

confidence: 99%

Toward accurate link between code and software documentation

Cao

Zou

Luo

et al. 2018

Sci. China Inf. Sci.

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Recovering traceability links between source code and software documentation is an important research topic in software maintenance and software reuse. There have been a lot of research efforts in recovering traceability between documentation and code elements (class, interface, method, etc.), mostly based on program analysis. However, there are still a lot of noise links being established in existing work. In this paper, we propose a novel approach to classifying code elements, occurring in a document, into contextual code elements and salient code elements. As a result, we can filter the noise traceability links between a software document and its contextual code elements and get a higher quality link set. Our classifier is trained based on open source project Lucene's source code and 1899 StackOverflow answer documents about Lucene. We extract code elements from these documents and represent each of these code elements with a 7-dimension feature vector, then we use a decision-tree-based learning model to classify them as salient or not. In the experiments, we get a precision of 70.7% in recognizing the salient code elements of these documents and get 12% improvement compared with Rigby's work. We can filter out 56.5%∼69.3% noise traceability links with different thresholds in our classifier. It can improve the quality of traceability links between source code and their related software documents in application.

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“…Allamanis et al [3] reported that code reviewers often suggest to modify identifier names before accepting a code patch. Thus, in recent years, naming convention of program identifiers drew significant attention for improving program understanding and maintenance [3,6,13,27,32,48]. Among the identifiers, a good method name is particularly helpful because they often summarize the underlying functionalities of the methods [4,19].…”

Section: Related Workmentioning

confidence: 99%

Obfuscation resilient search through executable classification

Bell

Kaiser

et al. 2018

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages

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Android applications are usually obfuscated before release, making it difficult to analyze them for malware presence or intellectual property violations. Obfuscators might hide the true intent of code by renaming variables and/or modifying program structures. It is challenging to search for executables relevant to an obfuscated application for developers to analyze efficiently. Prior approaches toward obfuscation resilient search have relied on certain structural parts of apps remaining as landmarks, un-touched by obfuscation. For instance, some prior approaches have assumed that the structural relationships between identifiers are not broken by obfuscators; others have assumed that control flow graphs maintain their structures. Both approaches can be easily defeated by a motivated obfuscator. We present a new approach, Macneto, to search for programs relevant to obfuscated executables leveraging deep learning and principal components on instructions. Macneto makes few assumptions about the kinds of modifications that an obfuscator might perform. We show that it has high search precision for executables obfuscated by a state-of-the-art obfuscator that changes control flow. Further, we also demonstrate the potential of Macneto to help developers understand executables, where Macneto infers keywords (which are from relevant un-obfuscated programs) for obfuscated executables.

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Investigating naming convention adherence in Java references

Cited by 20 publications

References 11 publications

On the Naming of Methods: A Survey of Professional Developers

On the Naming of Methods: A Survey of Professional Developers

Toward accurate link between code and software documentation

Obfuscation resilient search through executable classification

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