Extraction of Structural Business Rules from C#

Hnatkowska, Bogumiła; Ważeliński, Marcin

doi:10.1007/978-3-662-49381-6_22

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Many authors have worked on mining business rules from application code, namely: Sneed and Verhoef 25 focused on COBOL, Cosentino et al 26 on Java, Hnatkowska and Wazelinski 27 on C#, and Barbosa and Maia 28 or Mesbahi et al 29 on SQL procedures. Chittimalli et al 30 reported on a more ambitious goal: a language‐independent framework to extract the rules, 31 to create new ones, to verify them using the logs, and to analyze them.…”

Section: Related Workmentioning

confidence: 99%

On the design of an advanced business rule engine

Jiménez

Corchuelo

2022

Softw Pract Exp

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Business rules govern how well‐managed companies perform every day. They are expected to be written in natural language because they are devised by business people. That makes it difficult to translate them automatically into executable rules that can be integrated into typical information systems. Our industrial and academic research concludes that the current tools have a number of problems, namely: many of them do not pay any attention to the SBVR standard; some of them are not multi‐language; most of them cannot achieve perfect parsing accuracy; some of them are not domain agnostic; some of them use proprietary technologies; some of them do not produce executable rules; and none supports exploratory what‐if analyses natively. In this article, we present Tier‐Rules, which is a system that overcomes the previous problems. We also report on an industrial case study that helps illustrate it in practice.

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Section: Related Workmentioning

confidence: 99%

On the design of an advanced business rule engine

Jiménez

Corchuelo

2022

Softw Pract Exp

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“…The proposed approach does not require access to the source code of the legacy software system. Instead, we rely on collecting and analyzing historic output of the legacy software system to extract such computational rules [13][14][15][16]. Furthermore, the extracted computational business rules are validated automatically against test cases that are constructed from historic system output using TDD.…”

Section: Introductionmentioning

confidence: 99%

A Black-Box Computational Business Rules Extraction Approach through Test-Driven Development

Albassam

2023

Teh. glas. (Online)

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Business rules extraction is an important activity in situations in which a software system becomes obsolete and needs to be replaced by a newer system, since the replacing system needs to satisfy the business rules embedded in the legacy software system. In this paper, we investigate an approach in which the computational business rules of a legacy software system can be extracted given previously generated output of the system and without requiring access to the system’s source code. Furthermore, extracted computational business rules are validated automatically with minimal involvement of domain experts through Test-Driven Development (TDD) such that test cases are constructed from historic output of the system. The proposed approach is applied to extract the computational business rules of a large-scale governmental payroll legacy software system. The study results demonstrate that the suggested approach extracted computational business rules van meet a substantial number of test cases. Thus, the efforts involving domain experts can be reduces to analyze such instances.

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Extraction of Structural Business Rules from C#

Cited by 2 publications

References 10 publications

On the design of an advanced business rule engine

On the design of an advanced business rule engine

A Black-Box Computational Business Rules Extraction Approach through Test-Driven Development

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