A Timeline Summarization of Code Changes

Decker, Michael John; Newman, Christian D.; Collard, Michael L.; Guarnera, Drew T.; Maletic, Jonathan I.

doi:10.1109/dysdoc3.2018.00011

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…Applications [116][117][118][119][120][121][122][123][124][125] Code summarization. [126][127][128][129][130][131][132][133][134][135] Code documentation and comments generation.…”

Section: [49]mentioning

confidence: 99%

Cognification of Program Synthesis—A Systematic Feature-Oriented Analysis and Future Direction

Subahi

2020

Computers

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Program synthesis is defined as a software development step aims at achieving an automatic process of code generation that is satisfactory given high-level specifications. There are various program synthesis applications built on Machine Learning (ML) and Natural Language Processing (NLP) based approaches. Recently, there have been remarkable advancements in the Artificial Intelligent (AI) domain. The rise in advanced ML techniques has been remarkable. Deep Learning (DL), for instance, is considered an example of a currently attractive research field that has led to advances in the areas of ML and NLP. With this advancement, there is a need to gain greater benefits from these approaches to cognify synthesis processes for next-generation model-driven engineering (MDE) framework. In this work, a systematic domain analysis is conducted to explore the extent to the automatic generation of code can be enabled via the next generation of cognified MDE frameworks that support recent DL and NLP techniques. After identifying critical features that might be considered when distinguishing synthesis systems, it will be possible to introduce a conceptual design for the future involving program synthesis/MDE frameworks. By searching different research database sources, 182 articles related to program synthesis approaches and their applications were identified. After defining research questions, structuring the domain analysis, and applying inclusion and exclusion criteria on the classification scheme, 170 out of 182 articles were considered in a three-phase systematic analysis, guided by some research questions. The analysis is introduced as a key contribution. The results are documented using feature diagrams as a comprehensive feature model of program synthesis showing alternative techniques and architectures. The achieved outcomes serve as motivation for introducing a conceptual architectural design of the next generation of cognified MDE frameworks.

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“…Applications [116][117][118][119][120][121][122][123][124][125] Code summarization. [126][127][128][129][130][131][132][133][134][135] Code documentation and comments generation.…”

Section: [49]mentioning

confidence: 99%

Cognification of Program Synthesis—A Systematic Feature-Oriented Analysis and Future Direction

Subahi

2020

Computers

View full text Add to dashboard Cite

show abstract

A Timeline Summarization of Code Changes

Cited by 1 publication

References 4 publications

Cognification of Program Synthesis—A Systematic Feature-Oriented Analysis and Future Direction

Cognification of Program Synthesis—A Systematic Feature-Oriented Analysis and Future Direction

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