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Investigating Novice Developers' Code Commenting Trends Using Machine Learning Techniques
2023
Algorithms
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In this study, we initially investigated what types of comments novice students document in their source code and further categorized those comments using a machine learning approach. ...
This study helps in predicting the type of code comments for a novice developer using a machine learning approach that can be implemented to generate automated feedback for students, thus saving teachers ...
Is it possible to classify novice students'/developers' source code comments using machine learning techniques? ...
doi:10.3390/a16010053
fatcat:l6g5imd4rrca3mcnpjocbfx6cq
Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback
2024
Proceedings of the 14th Learning Analytics and Knowledge Conference
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To address this gap, we investigate both classical natural language processing techniques and large language models, specifically ChatGPT, as potential approaches to devise an automated detector of feedback ...
We discuss how the detector can be used for automated feedback evaluation and to better scaffold peer feedback for younger learners. ...
SUPERVISED MACHINE LEARNING -RQ1 We next developed supervised machine learning models using the same peer feedback comments used to develop the codebook (N=116), the first approach we investigate in this ...
doi:10.1145/3636555.3636850
fatcat:nnkyfise3vgynmpn6fvd5utviy
Detecting When a Learner Requires Assistance with Programming and Delivering a Useful Hint
2022
Zenodo
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However, using multiple tutors does not help struggling students outside of official sessions. ...
The lack of support outside official settings is especially the case for online courses and remote learning. ...
We will use Blackbox, a large dataset of novice programming data collected over the last eight years [6] , to look for trends that could signal a struggling student. ...
doi:10.5281/zenodo.6852957
fatcat:m7hmhjwcerbchdf6grxfrc3e3u
AugmentedCode: Examining the Effects of Natural Language Resources in Code Retrieval Models
[article]
2021
arXiv
pre-print
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Code retrieval is allowing software engineers to search codes through a natural language query, which relies on both natural language processing and software engineering techniques. ...
There have been several attempts on code retrieval from searching snippet codes to function codes. ...
on the state-of-the-art machine-learning based code search architectures. ...
arXiv:2110.08512v1
fatcat:yquisbvxxzhwjnrkakgpaq4l2q
Explaining How to Play Real-Time Strategy Games
[chapter]
2009
Research and Development in Intelligent Systems XXVI
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learning. ...
aspects with real situations in domains such as battle planning, air traffic control, and emergency response team management which makes them appealing test-beds for Artificial Intelligence (AI) and machine ...
Views and conclusions contained in this document are those of the authors and do not necessarily represent the official opinion or policies, either expressed or implied of the US government or of DARPA ...
doi:10.1007/978-1-84882-983-1_18
dblp:conf/sgai/MetoyerSNDCS09
fatcat:vbfzjhznrvhq3bmymolkrujil4
Explaining how to play real-time strategy games
2010
Knowledge-Based Systems
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learning. ...
aspects with real situations in domains such as battle planning, air traffic control, and emergency response team management which makes them appealing test-beds for Artificial Intelligence (AI) and machine ...
Views and conclusions contained in this document are those of the authors and do not necessarily represent the official opinion or policies, either expressed or implied of the US government or of DARPA ...
doi:10.1016/j.knosys.2009.11.006
fatcat:4u4tssnuzbd3xppw3b2c7bmmg4
How to Identify Class Comment Types? A Multi-language Approach for Class Comments Classification
[article]
2021
arXiv
pre-print
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Software developers usually inspect class comments to gain knowledge about program behavior, regardless of the programming language they are using. ...
Most software maintenance and evolution tasks require developers to understand the source code of their software systems. ...
We also thank Ivan Kravchenko for helping us to extract the data for Java and Python. ...
arXiv:2107.04521v1
fatcat:iznjl2z2ivcmzkhgpctrn775ha
Learning Analytics
[chapter]
2014
Encyclopedia of Social Network Analysis and Mining
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This allows us to
observe the development process of a student as they
build their code.
quired some exploration of dierent features. ...
The canonical approach would be to compute the conditional probabilities and nd strong correlations, but as a machine learning exercise we took a dierent approach. ...
doi:10.1007/978-1-4614-6170-8_100022
fatcat:hex3nvxwzrb4piin3scos4nqhe
How to identify class comment types? A multi-language approach for class comments classification
2021
Journal of Systems and Software
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Software developers usually inspect class comments to gain knowledge about program behavior, regardless of the programming language they are using. ...
Most software maintenance and evolution tasks require developers to understand the source code of their software systems. ...
We also thank Ivan Kravchenko for helping us to extract the data for Java and Python. ...
doi:10.1016/j.jss.2021.111047
fatcat:ach2im4gm5ftjjq5ozh56yo46u
Automated Grading and Feedback Tools for Programming Education: A Systematic Review
[article]
2023
arXiv
pre-print
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Furthermore, few tools assess the maintainability, readability or documentation of the source code, with most using static analysis techniques, such as code quality metrics, in conjunction with grading ...
In terms of techniques used to evaluate the tools' performance, most papers primarily use student surveys or compare the automatic assessment tools to grades or feedback provided by human graders. ...
However, few used techniques such as machine learning or analysing the graphical output [128] . ...
arXiv:2306.11722v2
fatcat:ww46tbjmofcu5hwftia2654cry
Is the cure worse than the disease? overfitting in automated program repair
2015
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering - ESEC/FSE 2015
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However, novice developers also overfit, and automated repair performs no worse than these developers. ...
This paper addresses a deficit of earlier evaluations of automated repair techniques caused by repairing programs and evaluating generated patches' correctness using the same set of tests. ...
Overfitting is also a well-studied problem in machine learning [41] . ...
doi:10.1145/2786805.2786825
dblp:conf/sigsoft/SmithBGB15
fatcat:yr2rj5756jearaona7qcxgbbay
"It's hard to argue with a computer"
2018
Proceedings of the 2018 on Designing Interactive Systems Conference 2018 - DIS '18
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Recent work has demonstrated that MI sessions can be evaluated using ML and NLP methods, and that machine-coded sessions can be comparable with humancoded sessions [1] for both specific, granular techniques ...
CORE-MI is the first system of its kind for psychotherapy, and an early example of applied machine-learning in a human service context. ...
as features in machine learning predictive models. ...
doi:10.1145/3196709.3196776
pmid:30027158
pmcid:PMC6050022
dblp:conf/ACMdis/HirschSMKDCAI18
fatcat:fmxah4hk7be5pld7qmott2vps4
A Retrospective on ICSE 2022
[article]
2022
arXiv
pre-print
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ML IS AUTOMATING SE The automation of various software engineering (SE) tasks by using machine learning (ML) has been a research trend for many years. ...
MACHINE LEARNING LIBRARIES While there has been a larger trend of machine learning (ML) with and for software engineering (SE), several papers tackled the more specific issue of testing and debugging ML ...
arXiv:2207.12578v1
fatcat:fzjfdwipznawtbwgndahcgntty
A Survey on Deep Learning for Software Engineering
[article]
2020
arXiv
pre-print
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We first provide an example to illustrate how deep learning techniques are used in SE. We then summarize and classify different deep learning techniques used in SE. ...
Deep learning has been increasingly used to develop state-of-the-art software engineering (SE) research tools due to its ability to boost performance for various SE tasks. ...
[30] used DL-based statistical machine-learning techniques to automatically generate input syntax suitable for input fuzzing. Cummins et al. ...
arXiv:2011.14597v1
fatcat:pcyg6zbnm5bc3g4yhjomcnye3y
A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques
2019
IEEE Access
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Finally, we summarize some future directions for advancing the techniques of automatic generation of code comments and the quality assessment of comments. ...
However, developers sometimes do not comment on their program code adequately due to the incurred extra efforts, lack of relevant knowledge, unawareness of the importance of code commenting or some other ...
With the development of artificial intelligence and machine learning technologies, researchers continually apply the emerging techniques to automatic comment generation researches, such as deep learning ...
doi:10.1109/access.2019.2931579
fatcat:gzwjs6wnerec3nlciqmrvpbsz4
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