Program Comprehension During Software Maintenance and Evolution

By A. Von, Mayrhauser A Marie Vans. 1995

Subfields: Program Analysis & Verification, Software Engineering

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Citations in the corpus

Comparing Code Explanations Created by Students and Large Language Models (2023, background): “Programmers can employ various code comprehension strategies that give them flexibility in the ways they comprehend programming concepts [45].”
A Neural Model for Generating Natural Language Summaries of Program Subroutines (2019, background): “These descriptions are useful because they help programmers understand the role that the subroutine plays in a program – empirical studies have repeatedly shown that understanding the role of the subroutines in a program is a crucial step to understanding the program’s behavior overall [3]–[6].”
Questions programmers ask during software evolution tasks (2006, background): “The other study involved industrial programmers working on their own change tasks on code with which they had experience.”
Measuring Program Comprehension: A Large-Scale Field Study with Professionals (2018, background): “[13], [58], our program comprehension model separates navigation from other activities since we believe that navigation is an important activity in software development and we want to highlight it separately.”
Improved Code Summarization via a Graph Neural Network (2020, background): “ese summaries have several advantages when put into documentation such as decreased time to understand code [17], improved code comprehension [11, 54], and to making code more searchable [22].”
An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension (2011, background): “Yet, despite the many studies on antipatterns summarised in Section II, few studies have empirically investigated the impact of antipatterns on program comprehension.”
An examination of software engineering work practices (2010, methodology): “First, the vast majority of the research has been conducted with graduate and advanced undergraduates serving as expert programmers (but c.f., [ 21 ]).”