Temporal code completion and navigation

Lee, Yun Young; Harwell, Sam; Khurshid, Sarfraz; Marinov, Darko

doi:10.1109/icse.2013.6606673

Cited by 9 publications

(11 citation statements)

References 14 publications

(10 reference statements)

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“…API code completion tools [1,5,9] improve existing IDE's code completion features by integrating information mined from version control systems. Robbes et al [9] rank most recently used API methods higher than other APIs.…”

Section: Related Workmentioning

confidence: 99%

“…Existing code completion engines either provide simple "quick fix" for API method calls and object instantiation values, or perform complex edit operations based on predefined templates. Several code completion approaches [1,5,9] rank certain method targets higher than others based on the patterns found in the codebase or version histories. Omar et al [8] suggest possible values to use based on a predefined value set.…”

Section: Introductionmentioning

confidence: 99%

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Cookbook: in situ code completion using edit recipes learned from examples

Jacobellis

Meng

Kim

2014

Companion Proceedings of the 36th International Conference on Software Engineering

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Existing code completion engines leverage only pre-defined templates or match a set of user-defined APIs to complete the rest of changes. We propose a new code completion technique, called Cookbook, where developers can define custom edit recipes-a reusable template of complex edit operations-by specifying change examples. It generates an abstract edit recipe that describes the most specific generalization of the demonstrated example program transformations. Given a library of edit recipes, it matches a developer's edit stream to recommend a suitable recipe that is capable of filling out the rest of change customized to the target. We evaluate Cookbook using 68 systematic changed methods drawn from the version history of Eclipse SWT. Cookbook is able to narrow down to the most suitable recipe in 75% of the cases. It takes 120 milliseconds to find the correct suitable recipe on average, and the edits produced by the selected recipe are on average 82% similar to developers' hand edit. This shows Cookbook's potential to speed up manual editing and to minimize developers' errors. Our demo video is available at https://www.youtube.com/watch?v=y4BNc8FT4RU.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cookbook: in situ code completion using edit recipes learned from examples

Jacobellis

Meng

Kim

2014

Companion Proceedings of the 36th International Conference on Software Engineering

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“…On similar lines, Lee et al [14] have an additional temporal dimension for evolutionary information on the code. In a collaborative work environment, they propose that such information could make development tasks easier.…”

Section: Related Workmentioning

confidence: 99%

Collective Intelligence for Smarter API Recommendations in Python

Renika

Yang

Lopes

2016

2016 IEEE 16th International Working Conference on Source Code Analysis and Manipulation (SCAM)

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Abstract-Software developers use Application Programming Interfaces (APIs) of libraries and frameworks extensively while writing programs. In this context, the recommendations provided in code completion pop-ups help developers choose the desired methods. The candidate lists recommended by these tools, however, tend to be large, ordered alphabetically and sometimes even incomplete. A fair amount of work has been done recently to improve the relevance of these code completion results, especially for statically typed languages like Java. However, these proposed techniques rely on the static type of the object and are therefore inapplicable for a dynamically typed language like Python.In this paper, we present PyReco, an intelligent code completion system for Python which uses the mined API usages from open source repositories to order the results based on relevance rather than the conventional alphabetic order. To recommend suggestions that are relevant for a working context, a nearest neighbor classifier is used to identify the best matching usage among all the extracted usage patterns.To evaluate the effectiveness of our system, the code completion queries are automatically extracted from projects and tested quantitatively using a ten-fold cross validation technique. The evaluation shows that our approach outperforms the alphabetically ordered API recommendation systems in recommending APIs for standard, as well as, third-party libraries.

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“…Lee et al [9] first introduced the idea about adding temporal dimension in code completion. The proposed idea was that code changes can be shown through code completion.…”

Section: Related Workmentioning

confidence: 99%

“…There are several research works found in literature which focused on establishing connection between software artifacts [3], [8], [9], [10]. These aimed to assist software engineer during development and maintenance phase.…”

Section: Introductionmentioning

confidence: 99%

A Content Assist based Approach for Providing Rationale of Method Change for Object Oriented Programming

Ami

Islam²

2015

IJIEEB

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Abstract-Software engineering requires modification of code during development and maintenance phase. During modification, a difficult task is to understand rationale of changed code. Present Integrated Development Environments (IDEs) attempt to help this by providing features integrated with different types of repositories. However, these features still consume developer's time as he has to switch from editor to another window for this purpose. Moreover, these features focus on elements available in present version of code, thus increasing the difficulty of finding rationale of an element removed or modified earlier. Leveraging different sources for providing information through code completion menus has been shown to be valuable, even when compared to standalone counterparts offering similar functionalities in literature. Literature also shows that it is one of the most used features for consuming information within IDE. Based on that, we prepare an Eclipse plug-in and a framework that allows providing reason of code change, at method granularity, across versions through a new code completion menu in IDE. These allow a software engineer to gain insight about rationale of removed or modified methods which are otherwise not available in present version of code. Professional software engineers participated in our empirical evaluation process and we observed that more than 80% participants considered this to be a useful approach for saving time and effort to understand rationale of method change. Later, based on their feedback, the plug-in and framework is modified to incorporate chronological factors. We perform quasi experimental evaluation with professional software engineers. It is found that time required to find rationale of method change is reduced to at least half compared to usual amount of time required for all the software engineers who participated in the quantitative evaluation.

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Temporal code completion and navigation

Cited by 9 publications

References 14 publications

Cookbook: in situ code completion using edit recipes learned from examples

Cookbook: in situ code completion using edit recipes learned from examples

Collective Intelligence for Smarter API Recommendations in Python

A Content Assist based Approach for Providing Rationale of Method Change for Object Oriented Programming

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