Faith, hope, and love

HanenbergStefan,

doi:10.1145/1932682.1869536

Cited by 11 publications

(4 citation statements)

References 25 publications

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“…Vessey et al [100, p. 251], in their unified taxonomy of computing research, list two classes of non-empirical research approaches, that of descriptive (including system descriptions and literature reviews) and formulative (including framework, guideline, model, taxonomy, and concept formulation) research approaches. Some other writers, for example Järvinen [43,44] and Hanenberg [35], only credit one non-empirical approach, that of mathematical (including stochastic theoretical) research.…”

Section: Methodsmentioning

confidence: 99%

“…There are many things that concept analysis does not contribute to. Hanenberg [35,36] is quite right that answering questions regarding usefulness to real humans in the real world requires empirical work. Attempting to use philosophical arguments to advance human-factors claims is foolish.…”

Section: Assessment Of a Concept Analysis Essaymentioning

confidence: 99%

“…slowly changing, in that the premier venues like OOPSLA are requiring rigorous validation, and some authors (including me) are pushing for the wider acceptance of human-factors research [e. g., 35,71,91,97]. It seems to me that this methodological awakening is a bit too focused on the traditional Humean duality-"When we run over libraries, persuaded of these principles, what havoc must we make?…”

mentioning

confidence: 99%

“…Recently several authors have published methodological critiques of this field (see, e. g., Hanenberg [35], Markstrum [64], Stefik and Hanenberg [91,92], Stefik et al [93]) but of actual positive methodological essays I am aware of only two. Hanenberg [36] recently published an introduction to controlled experimentation in programming language research.…”

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confidence: 99%

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Concept analysis in programming language research: done well it is all right

Kaijanaho

2017

Proceedings of the 2017 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Sof

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Programming language research is becoming method conscious. Rigorous mathematical or empirical evaluation is often demanded, which is a good thing. However, I argue in this essay that concept analysis is a legitimate research approach in programming languages, with important limitations. It can be used to sharpen vague concepts, and to expose distinctions that have previously been overlooked, but it does not demonstrate the superiority of one language design over another. Arguments and counter-arguments are essential to successful concept analysis, and such thoughtful conversations should be published more.

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Section: Methodsmentioning

confidence: 99%

Section: Assessment Of a Concept Analysis Essaymentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Concept analysis in programming language research: done well it is all right

Kaijanaho

2017

Proceedings of the 2017 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Sof

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The Influence of Personality on Software Quality – A Systematic Literature Review

Weilemann

Brüne

2020

Trends and Innovations in Information Systems and Technologies

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Two N-of-1 self-trials on readability differences between anonymous inner classes (AICs) and lambda expressions (LEs) on Java code snippets

Hanenberg

Mehlhorn²

2021

Empir Software Eng

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In Java, lambda expressions (LEs) were introduced at a time where the similar language construct anonymous inner class (AIC) already existed for years. But while LEs became quite popular in mainstream programming languages in general, their usability is hardly studied. From the Java perspective the need to study the relationship between LEs and AICs was and is quite obvious, because both language constructs co-exist. However, it is quite usual that new language constructs are introduced although they are not or hardly studied using scientific methods – and an often heard argument from programming language designers is that the effort or the costs for the application of the scientific method on language constructs is too high. The present paper contributes in two different ways. First, with respect to LEs in comparison to AICs, this paper presents two N-of-1 studies (i.e. randomized control trials executed on a single subject) where LEs and AICs are used as listeners in Java code. Both experiments had two similar and rather simple tasks (“count the number of parameters”, respectively “count the number of used parameters”) with the dependent variable being reaction time. The first experiment used the number of parameters, the second the number of used parameters as the controlled, independent variable (in addition to the technique LE and AIC). Other variables (LOC, etc.) were randomly generated within given boundaries. The main result of both experiments is that LEs without type annotations require less reading time (p hs .2, reduction of reaction time of at most 35%). The results are based on 9,600 observations (one N-of-1 trial with eight replications). This gives evidence that the readability of LEs without type annotations improves the readability of code. However, the effect seems to be so small, that we do not expect this to have a larger impact on daily programming. Second, we see the contribution of this paper in the application of N-of-1 trials. Such experiments require relatively low effort in the data selection but still permit to analyze results in a non-subjective way using commonly accepted analysis techniques. Additionally, they permit to increase the number of selected data points in comparison to traditional multi–subject experiments. We think that researchers should take such experiments into account before planning and executing larger experiments.

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Faith, hope, and love

Cited by 11 publications

References 25 publications

Concept analysis in programming language research: done well it is all right

Concept analysis in programming language research: done well it is all right

The Influence of Personality on Software Quality – A Systematic Literature Review

Two N-of-1 self-trials on readability differences between anonymous inner classes (AICs) and lambda expressions (LEs) on Java code snippets

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