The advantages of data flow diagrams for beginning programming

Anjaneyulu, K. S. R.; Anderson, John R.

doi:10.1007/3-540-55606-0_68

Cited by 10 publications

(5 citation statements)

References 2 publications

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“…Therefore, in RQ2, we study the degree to which programmers emphasize these signature terms when reading code. We pose RQ3 in light of related work which suggests that programmers comprehend code by comprehending its control flow [16,31], while contradictory evidence suggests that other regions may be more valuable [2]. We study the degree to which programmers focus on control flow when summarizing code, to provide guidance on how it should be prioritized in summaries.…”

Section: Research Questionsmentioning

confidence: 99%

Improving automated source code summarization via an eye-tracking study of programmers

Rodeghero

McMillan

McBurney

et al. 2014

Proceedings of the 36th International Conference on Software Engineering

165

106

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Source Code Summarization is an emerging technology for automatically generating brief descriptions of code. Current summarization techniques work by selecting a subset of the statements and keywords from the code, and then including information from those statements and keywords in the summary. The quality of the summary depends heavily on the process of selecting the subset: a high-quality selection would contain the same statements and keywords that a programmer would choose. Unfortunately, little evidence exists about the statements and keywords that programmers view as important when they summarize source code. In this paper, we present an eye-tracking study of 10 professional Java programmers in which the programmers read Java methods and wrote English summaries of those methods. We apply the findings to build a novel summarization tool. Then, we evaluate this tool and provide evidence to support the development of source code summarization systems.

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Section: Research Questionsmentioning

confidence: 99%

Improving automated source code summarization via an eye-tracking study of programmers

Rodeghero

McMillan

McBurney

et al. 2014

Proceedings of the 36th International Conference on Software Engineering

165

106

View full text Add to dashboard Cite

show abstract

“…Like GIL, DISCOVER is an intelligent programming environment which synthesizes free with guided programming and supports software visualization (Mukherjea et al, 1994;Stasko et al, 1992;Price, 1993;Baecker et al, 1997;Anjaneyulu, 1992) and immediacy of feedback. The system is designed to help novices acquire both programming knowledge and programming skill.…”

Section: Discovermentioning

confidence: 99%

Intelligent Systems for Active Program Diagnosis

Ramadhan

Shihab

2000

SQU Journal for Science

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Intelligent program diagnosis systems are computer programs capable of analyzing logical and design-level errors and misconceptions in programs. Upon discovering the errors, these systems provide intelligent feedback and thus guide the users in the problem-solving process. Intelligent program diagnosis systems are classified by their primary means of program analysis. The most distinct split is between those systems that are unable to analyze partial code segments as they are provided by the user and must wait until the entire solution code is completed before attempting any diagnosis, and those that are capable of analyzing partial solutions and providing proper guidance whenever an error or misconception is encountered. This paper gives an overview of the field and then critically compares work accomplished on several closely related active diagnosis systems, emphasizing such issues as the representation techniques used to capture the domain knowledge required for the diagnosis, ability to handle the diagnosis of partial code segments of the solutions, features of the user interfaces, and methodologies used in conducting the diagnosis process. Finally the paper presents a detailed discussion on issues related to active program diagnosis along with various design considerations to improve the engineering of this approach to intelligent diagnosis. The discussion presented in this paper tackles the issues referred above within the context of DISCOVER, an intelligent system for programming by discovery.

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“…A visual functional programming environment called DRLP (similar in spirit to GIL) was developed and evaluated empirically by Anjaneyulu and Anderson (1992). The simple dataflow language was found to 'help' in certain respects, namely eliminating explicit representation of variables and their evaluation, so that an early Lisp hurdle was avoided.…”

Section: Sv Meets Itsmentioning

confidence: 99%

Software visualization as a pedagogical tool

1993

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The teaching of computer programming can benefit from looking ahead towards the needs of experienced programmers, who routinely use 'industrial strength' programming environments. Two of the main attributes of such environments are (a) their ability to scale up to handle large examples and (b) the way they facilitate visualization of program execution. We describe our approach to software visualization, a collection of techniques which allows beginners to see the innards of program execution clearly and at the same time allows experts to view high level program abstraetious which help them home in quickly on buggy code. This approach can be combined with recent developments in Intelligent Tntoring Systems (ITSs) and has tile added benefit of allowing students to explore on their own using a discovery-based paradigm. We re-work some well known examples from the ITS community and show how our approach scales up to lmndle a more sophisticated problem involving a 7,500 fine operating sy.qtem.

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The advantages of data flow diagrams for beginning programming

Cited by 10 publications

References 2 publications

Improving automated source code summarization via an eye-tracking study of programmers

Improving automated source code summarization via an eye-tracking study of programmers

Intelligent Systems for Active Program Diagnosis

Software visualization as a pedagogical tool

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