MAGISTER: Quality assurance of Magic applications for software developers and end users

Nagy, Csaba; Vidács, László; Ferenć, Rudolf; Gyimóthy, Tibor; Kocsis, Ferenc; Kovács, István

doi:10.1109/icsm.2010.5609550

Cited by 9 publications

(16 citation statements)

References 5 publications

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“…Besides supporting migration tasks, by adopting the Columbus technology to Magic 4GL we show that quality assurance techniques commonly used in the context of 3GLs are applicable to data-intensive applications developed in 4GLs too [3]. Metrics widely used in 3GLs (Size, Complexity, Coupling and Cohesion measures), can be adopted to the specialties of Magic 4GL and applicable to identify coding "bad smells".…”

Section: Migration and Quality Assurance Of Magic 4gl Applicationsmentioning

confidence: 97%

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Static Analysis of Data-Intensive Applications

Nagy

2013

2013 17th European Conference on Software Maintenance and Reengineering

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Data-intensive systems are designed to handle data at massive scale, and during the years they might evolve to very large, complex systems. In order to support maintenance tasks of these systems several techniques have been developed to analyze the source code of applications or to analyze the underlying databases for the purpose of reverse engineering, e.g. quality assurance or program comprehension. However, only a few techniques take into account the specialties of data-intensive systems (e.g. dependencies arising via database accesses).In this thesis we conducted research to analyze and to improve data-intensive applications via different methods based on static analysis: methods for recovering architecture of data-intensive systems and a quality assurance methodology for applications developed in Magic 4GL. We targeted SQL as the most widespread databases are relational databases using certain dialect of SQL for their queries. With the proposed techniques we were able to analyze large scale industrial projects, such as banking systems with more than 3 million lines of code, and we successfully recovered architecture maps and quality issues of these systems.

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Section: Migration and Quality Assurance Of Magic 4gl Applicationsmentioning

confidence: 97%

“…• adaptation of the same method and the Columbus quality assurance methodology for applications developed in Magic 4GL [3], [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Static Analysis of Data-Intensive Applications

Nagy

2013

2013 17th European Conference on Software Maintenance and Reengineering

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“…Usual notions of size, complexity and coupling need to be re-interpreted in these cases. Building on previous works on metrics based quality assurance for 4GL [2,3] we take new direction to extend metrics towards product line architectures. Maintaining and releasing similar new products accumulates significant overhead over time.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed metrics play a role in the product line adoption process and can be used in the future maintenance and evolution of the product line. We provide the following contributions: (1) we propose metrics at the feature level for Magic 4GL; (2) we describe empirical experiments of 4 product variants of a large scale industrial system; and (3) we analyze 4 product variants and 10 high level features of the product line using the proposed metrics.…”

Section: Introductionmentioning

confidence: 99%

Feature Level Complexity and Coupling Analysis in 4GL Systems

Kicsi

Csuvik

Vidács

et al. 2018

Computational Science and Its Applications – ICCSA 2018

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Product metrics are widely used in the maintenance and evolution phase of software development to advise the development team about software quality. Although most of these metrics are defined for mainstream languages, several of them were adapted to fourth generation languages (4GL) as well. Usual concepts like size, complexity and coupling need to be re-interpreted and adapted to program elements defined by these languages. In this paper we take a further step in this process to address product line development in 4GL. Adopting product line architecture is a necessary step to handle challenges of a growing number of similar product variants. The product line adoption process itself is a tedious task where features of the product variants play crucial role. Features represent a higher level of abstraction that are cross-cutting to program elements of 4GL applications. We propose a set of metrics related to features by linking existing program elements to metrics and by relating features with each other. The focus of this study is on complexity and coupling metrics. We provide a metrics based analysis of several variants of a large scale industrial product line written in the Magic XPA 4GL language.

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“…We should add here, that most of the presented approaches had a real industrial motivation, allowing us to validate our methods in 'in vivo', industrial environment. Innovation projects sponsored by the European Union also rely on the results of our work [129,132]. In addition, the reverse engineering framework for Magic motivated research studies for the National Scientific Students' Associations Conference.…”

Section: Related Work Chapter 7 Static Security Analysismentioning

confidence: 98%

Evaluating optimization and reverse engineering techniques on data-intensive systems

Nagy¹

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MAGISTER: Quality assurance of Magic applications for software developers and end users

Cited by 9 publications

References 5 publications

Static Analysis of Data-Intensive Applications

Static Analysis of Data-Intensive Applications

Feature Level Complexity and Coupling Analysis in 4GL Systems

Evaluating optimization and reverse engineering techniques on data-intensive systems

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