Developing a software system for automata-based code generation

Shulga, T. E.; Ivanov, Éric; Slastihina, M. D.; Vagarina, N. S.

doi:10.1134/s0361768816030075

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…There are also code generators for different domains and purposes. For example, in 2016 Shulga et al presented a code generator that generates program code from state machine patterns [23]. Another code generator that generates document type descriptors (DTDs) for a collection of XML documents was developed by Leonov and Khusnutdinov [24].…”

Section: Related Workmentioning

confidence: 99%

A template-based code generator for web applications

Uyanik¹,

Şahin²

2020

Turk J Elec Eng & Comp Sci

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The importance and usage of web applications grow every day. Today from small businesses to large-scale corporations, many institutions prefer web applications for both their internal and external services. Code size and complexity of these kinds of applications grow rapidly. This brings up the question of how to improve the development process of web applications. A solution can be to use code generators. This paper introduces a template-based code generator to improve the development process of web applications. The code generator was developed and integrated into a real-life web application. Today, the web application together with the code generator is actively used in industry. This proves that an effective integration of a template-based code generator into a real-life large-scale web application can be achieved. In addition, the effectiveness of automatic code generation to manual implementation was shown with experimentation. Throughout the experiments, bug-free code generation was observed. Also, 98.95% improvement in average development time, 93.97% improvement in average test run count, and 49.37% improvement in average code size was achieved.

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Section: Related Workmentioning

confidence: 99%

A template-based code generator for web applications

Uyanik¹,

Şahin²

2020

Turk J Elec Eng & Comp Sci

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“…State machines control the behavior of instances of classes; it is a key way that UML envisions using state machines [117]. There is considerable literature focusing on such state machines and also on code generation from such machines [30,34,79,95,96] to avoid the need for manual coding of their logic.…”

Section: State Machinesmentioning

confidence: 99%

Promoting traits into model-driven development

Abdelzad

Lethbridge

2015

Softw Syst Model

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Traits are primitive units of code reuse that serve as building blocks of classes. In this research, we enhance reuse by extending the capabilities of traits; in particular, we add modeling abstractions to them.Traits have a variety of benefits, including facilitating reuse and separation of concerns. They have appeared in several programming languages, particularly derivatives of Smalltalk. However, there is still no support for traits that contain modeling abstractions, and no straightforward support for them in general-purpose programming languages. The latter is due to structural concerns that exist for them at runtime, especially traits that contain modeling abstractions.Model-driven technologies are making inroads into the development community, albeit slowly. Modeling abstractions such as state machines and associations provide new opportunities for reuse, and can be combined with inheritance for even greater reusability.However, issues with inheritance apply also when these new abstractions are inheritable units. This suggests that traits and models ought to be able to be synergistically combined.We perform a comprehensive analysis of using modeling elements in traits. We implement such traits in Umple, which is a model-oriented programming language that permits embedding of programming concepts into models.The contributions of the thesis are: a) Adding new elements including state machines and associations into traits, hence bringing more reusability, modularity, and applications to traits; b) Developing an algorithm that allows reusing, extending, and composing state machines through traits; c) Extending traits with required interfaces so dependencies at the semantic level become part of their usage, rather than simple syntactic capture; d) Adding template parameters with associations in traits, offering new applications for traits in which it is possible to define design patterns and to have a library of most-used functionality; e) The implementation of all the above concepts, including generating code in multiple generalpurpose programming languages through automatic model transformation.iii

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An Improved Crow Search Algorithm for Test Data Generation Using Search-Based Mutation Testing

Jatana

Suri

2020

Neural Process Lett

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Developing a software system for automata-based code generation

Cited by 4 publications

References 3 publications

A template-based code generator for web applications

A template-based code generator for web applications

Promoting traits into model-driven development

An Improved Crow Search Algorithm for Test Data Generation Using Search-Based Mutation Testing

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