Heuristics for Discovering Architectural Violations

Maffort, Cristiano; Valente, Marco Tulio; Anquetil, Nicolas; Hora, Andre; Bigonha, Mariza

Document type :

Communication dans un congrès avec actes

Title :

Heuristics for Discovering Architectural Violations

Author(s) :

Maffort, Cristiano [Auteur]
Departamento de Ciência da Computação [Minas Gerais] [DCC - UFMG]
Valente, Marco Tulio [Auteur]
Departamento de Ciência da Computação [Minas Gerais] [DCC - UFMG]
Anquetil, Nicolas [Auteur]

Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Hora, Andre [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Bigonha, Mariza [Auteur]
Departamento de Ciência da Computação [Minas Gerais] [DCC - UFMG]

Conference title :

Working Conference on Reverse Engineering (WCRE'13)

City :

Koblenz

Country :

Allemagne

Start date of the conference :

2013-10-14

Publication date :

2013-10-14

HAL domain(s) :

Informatique [cs]/Génie logiciel [cs.SE]

English abstract : [en]

Software architecture conformance is a key software quality control activity that aims to reveal the progressive gap normally observed between concrete and planned software architectures. In this paper, we present ArchLint, ...
Show more >Software architecture conformance is a key software quality control activity that aims to reveal the progressive gap normally observed between concrete and planned software architectures. In this paper, we present ArchLint, a lightweight approach for architecture conformance based on a combination of static and historical source code analysis. For this purpose, ArchLint relies on four heuristics for detecting both absences and divergences in source code based architectures. We applied ArchLint in an industrial-strength system and as a result we detected 119 architectural violations, with an overall precision of 46.7% and a recall of 96.2%, for divergences. We also evaluated ArchLint with four open-source systems, used in an independent study on reflexion models. In this second study, ArchLint achieved precision results ranging from 57.1% to 89.4%.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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