Comprehending Studies on Program Comprehension

Schröter, Ivonne; Krüger, Jacob; Siegmund, Janet; Leich, Thomas

doi:10.1109/icpc.2017.9

Cited by 46 publications

(17 citation statements)

References 20 publications

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“…Code understanding is one aspect of program comprehension that is vital in software development and maintenance activities [49]. Code understanding is necessary to facilitate code reuse, code inspection, maintenance, reverse engineering, reengineering, migration, and extension of existing software systems [39]. Code understanding has been a topic of interest in computer science as well as software engineering.…”

Section: Code Understandingmentioning

confidence: 99%

“…Developers spend a great deal of their time understanding source code and other software artifacts, so they can add or modify functionality, fix bugs, and perform maintenance activities [31,39]. Understanding developers' behavior during comprehension tasks with different software artifacts is important to support developers' work and as a further consequence improve their productivity [19].…”

Section: Introductionmentioning

confidence: 99%

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Mining reading patterns from eye-tracking data: method and demonstration

et al. 2019

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Understanding how developers interact with different software artifacts when performing comprehension tasks has a potential to improve developers' productivity. In this paper, we propose a method to analyze eye-tracking data using process mining to find distinct reading patterns of how developers interacted with the different artifacts. To validate our approach, we conducted an exploratory study using eyetracking involving 11 participants. We applied our method to investigate how developers interact with different artifacts during domain and code understanding tasks. To contextualize the reading patterns and to better understand the perceived benefits and challenges participants associated with the different artifacts and their choice of reading patterns, we complemented the eye-tracking data with the data obtained from think aloud. The study used behavior driven development (BDD), a development practice that is increasingly used in Agile software development contexts, as a setting. The study shows that our method can be used to explore developers' behavior at an aggregated level and identify behavioral patterns at varying levels of granularity.

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Section: Code Understandingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mining reading patterns from eye-tracking data: method and demonstration

et al. 2019

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“…While there has been several decades of research on program comprehension, recent studies have suggested new opportunities to improve program comprehension further along conducting more human studies for understanding and evaluating comprehension strategies, models, and tools [61].…”

Section: Program Comprehensionmentioning

confidence: 99%

Collective program analysis

Upadhyaya

Rajan

2018

Proceedings of the 40th International Conference on Software Engineering

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“…For example, it was utilized to solve the problem of understanding the data flow and the structure of any software. [10][11][12] To have appropriate query text, the developers have to be familiar with the application domain of the software and the software structure; moreover, they need to understand the domain terms sent from the end user to the development team. Unfortunately, not all developers are familiar with the system they maintain and update, and thus they use terms in building the queries which may differ from the existing related terms in the source code.…”

Section: Introductionmentioning

confidence: 99%

Feature location enhancement based on source code augmentation with synonyms of terms

Saifan

Obeidat

2020

Softw Pract Exp

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SummaryIn software maintenance the developers may add new feature to program, improve existing function, and remove bugs. In this case the developer should identify the location in the source code that corresponds to a specific functionality; this is known as feature location. This presents a new approach for enhancing the process of feature location using Information Retrieval (IR) and Natural Language Processing. The approach presented augments the source code with additional semantic information that was extracted and derived from the synonyms of source code terms. This approach works in a pipeline structure, starting by augmenting the source code corpus with synonyms of the original terms and ending by inferring the source code with a particular user query. More specifically, the WordNet platform is used for extracting the synonyms of terms. Moreover, the approach uses an advanced IR technique, namely the Latent Semantic Indexing, for searching and inferring the source code. The used approach was tested and evaluated on two open source systems, namely the Qt and Hippodraw. Four experiments were conducted on each system using 21 features and the results showed that enriching the source code with synonyms of terms clearly and significantly improved the process of feature location efficiently. The experimental results showed that the approach presented obtained higher levels of Recall and Precision. For that reason, it has been shown to improve the state‐of‐the‐art techniques for feature location process.

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Comprehending Studies on Program Comprehension

Cited by 46 publications

References 20 publications

Mining reading patterns from eye-tracking data: method and demonstration

Mining reading patterns from eye-tracking data: method and demonstration

Collective program analysis

Feature location enhancement based on source code augmentation with synonyms of terms

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