Refactoring Tools and Complementary Techniques

Drozdz, M.; Kourie, Derrick G.; Watson, Berrie; Boake, Andrew

doi:10.1109/aiccsa.2006.205164

Cited by 6 publications

(6 citation statements)

References 2 publications

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“…Negatives. E1, E2, E5, and E6 indicated a problem in that the visualization overlaps the text (3,3,4,2). While most evaluators did not provide a reason for why this is a problem, E2 stated that having the colored petals beneath the black text and surrounded by a white background makes it noticeable and therefore affects the legibility.…”

Section: Discussionmentioning

confidence: 99%

“…E5 identified that the constantly changing petals could be quite distracting (3). E6 noted that, depending on position, the mouse rollover labels can obscure the problem that is being highlighted (4). E6 also observed that the darkness of some petals can obscure the text, which is yet another indication that it can be distracting for the visualization to overlay the text (1).…”

Section: Visibility Of Statementioning

confidence: 95%

“…For example, the Firewall Policy Advisor makes recommendations Table 1. Some Java code smells identified by Fowler, 2 van Emden and Moonen 3 (indicated with *), and Drozdz et al 4 (indicated with y).…”

Section: Introductionmentioning

confidence: 99%

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Interactive ambient visualizations for soft advice

Murphy-Hill

Barik

Black

2013

Information Visualization

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Some software packages offer the user soft advice: recommendations that are intended to help the user create high-quality artifacts but which may turn out to be bad advice. It is left to the user to determine whether the soft advice really will improve quality and to decide whether to adopt it. Visualizations can help the user in making this decision, but we believe that conventional visualizations are less than ideal. In this article, we describe an interactive ambient visualization to help users identify, understand, and interpret soft advice. Our visualization was developed to help programmers interpret code smells, which are indications that a software project may be suffering from design problems. We describe a laboratory experiment with 12 programmers that tests several hypotheses about our visualization. The findings suggest that our tool helps programmers to identify smells more effectively and to make more informed judgments about the design of the program under development. We then describe an application of our visualization technique in another domain: an English style and grammar advisor. This second application suggests that our technique can be applied to several domains and also suggests how the technique must be varied to make it domain specific.

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Section: Discussionmentioning

confidence: 99%

Section: Visibility Of Statementioning

confidence: 95%

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Interactive ambient visualizations for soft advice

Murphy-Hill

Barik

Black

2013

Information Visualization

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“…Most automated refactorings might still need a certain level of user intervention to make the code more readable, and the developer still might need to know how the code base is affected due to the change [7,12].…”

Section: B Suggestions For Automated Refactoringsmentioning

confidence: 99%

Automated refactorings in Java using IntelliJ IDEA to extract and propogate constants

Mahmood¹,

Reddy

2014

2014 IEEE International Advance Computing Conference (IACC)

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Refactoring tools suffer from usability in the areas of automating mundane tasks, providing user customization, and providing strategies for error recovery. The automation of refactoring tools can be a risky undertaking since user intervention is required in many scenarios to maintain the internal quality of the system. Any type of design level refactoring requires complex changes to the code, the validation of preconditions, and could potentially harm the system. Smaller refactorings that handle codesmells can be carried out automatically with considerably lower risk. This paper discusses the current state of automated refactoring tools, and the development of an automated refactoring tool to extract and propagate Java literal expressions in IntelliJ IDEA.

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“…Refactoring means to re-influence, something that already exists [1]. Whenever we make a change in the code, we are refactoring the software.…”

Section: Introductionmentioning

confidence: 99%

A Model to Compare the Degree of Refactoring Opportunities of Three Projects Using A Machine Algorithm

Khurana¹,

Jindal²

2013

ACIJ

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Refactoring is applied to the software artifacts so as to improve its internal structure, while preserving itsexternal behavior. Refactoring is an uncertain process and it is difficult to give some units formeasurement. The amount to refactoring that can be applied to the source-code depends upon the skills ofthe developer. In this research, we have perceived refactoring as a quantified object on an ordinal scale ofmeasurement. We have a proposed a model for determining the degree of refactoring opportunities in thegiven source-code. The model is applied on the three projects collected from a company. UML diagramsare drawn for each project. The values for source-code metrics, that are useful in determining the quality ofcode, are calculated for each UML of the projects. Based on the nominal values of metrics, each relevantUML is represented on an ordinal scale. A machine learning tool, weka, is used to analyze the dataset,imported in the form of arff file, produced by the three projects

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Refactoring Tools and Complementary Techniques

Cited by 6 publications

References 2 publications

Interactive ambient visualizations for soft advice

Interactive ambient visualizations for soft advice

Automated refactorings in Java using IntelliJ IDEA to extract and propogate constants

A Model to Compare the Degree of Refactoring Opportunities of Three Projects Using A Machine Algorithm

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