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Teaching Software Engineering through Robotics

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Jiwon Shin, Andrey Rusakov, Bertrand Meyer

Computers and Society · Submitted 17 Jun 2014

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The analysis suggests that the students acquired an understanding of software engineering techniques and principles.

how it is stated · hedged possibility 1.00 read the record →

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arXiv ID1406.4458 (version 1)
Pith IDUUWRDPHS, Pith's permanent record of this paper and its review
CitationAndrey Rusakov, Bertrand Meyer, Jiwon Shin. "Teaching Software Engineering through Robotics." arXiv:1406.4458 (2014). https://pith.science/paper/UUWRDPHS
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,165 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.15 · states limitation 0.23 · human participants 0.95 · controlled comparison 0.17 · randomized assignment 0.02 · states quantitative result 0.10 · compares with prior results 0.07 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

This paper presents a newly-developed robotics programming course and reports the initial results of software engineering education in robotics context. Robotics programming, as a multidisciplinary course, puts equal emphasis on software engineering and robotics. It teaches students proper software engineering -- in particular, modularity and documentation -- by having them implement four core robotics algorithms for an educational robot. To evaluate the effect of software engineering education in robotics context, we analyze pre- and post-class survey data and the four assignments our students completed for the course. The analysis suggests that the students acquired an understanding of software engineering techniques and principles.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 This paper presents a newly-developed robotics programming course and reports the initial results of software engineering education in robotics context. contribution 1.00 0.90 0.07 asserted 0.99
s1 Robotics programming, as a multidisciplinary course, puts equal emphasis on software engineering and robotics. contribution 0.47 0.29 0.03 asserted 1.00
s2 It teaches students proper software engineering -- in particular, modularity and documentation -- by having them implement four core robotics algorithms for an educational robot. method 0.83 0.66 0.05 asserted 1.00
s3 To evaluate the effect of software engineering education in robotics context, we analyze pre- and post-class survey data and the four assignments our students completed for the course. method 0.99 0.96 0.03 asserted 0.85
s4 The analysis suggests that the students acquired an understanding of software engineering techniques and principles. result 0.57 0.94 0.85 hedged possibility 1.00

What kind of paper the classifier reports this is: empirical study 0.89 · evidence from observation or experiment 0.86.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

This paper presents a newly-developed robotics programming course and reports the initial results of software engineering education in robotics context. Robotics programming, as a multidisciplinary course, puts equal emphasis on software engineering and robotics. It teaches students proper software engineering -- in particular, modularity and documentation -- by having them implement four core robotics algorithms for an educational robot. To evaluate the effect of software engineering education in robotics context, we analyze pre- and post-class survey data and the four assignments our students completed for the course. The analysis suggests that the students acquired an understanding of software engineering techniques and principles.

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