Automatic Identification of Reusable Software Development Assets: Methodology and Tool

Oliveira, Marcílio; Gonçalves, Eduardo Machado; Bacili, Kleber Rogerio

doi:10.1109/iri.2007.4296663

Cited by 4 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous work investigate the identification of reuse opportunities from software systems [Inoue et al 2005, Koziolek et al 2013, Li et al 2005, Mende et al 2009, Michail and Notkin 1999, Oliveira et al 2007, Ye and Fischer 2005. As an example, Inoue et al (2005) propose a graph-based technique to support the extraction of frequently used components in a given software component repository.…”

Section: Identification Of Reuse Opportunitiesmentioning

confidence: 99%

“…On the other hand, JReuse is able to identify reuse opportunities in both libraries and traditional software systems implemented in Java. Oliveira et al (2007) propose a method and a supporting tool for recommendation of reusable software components. The tool applies a technique called Automatic Identification of Software Components to identify candidate components for reuse.…”

Section: Identification Of Reuse Opportunitiesmentioning

confidence: 99%

See 1 more Smart Citation

A Method Based on Naming Similarity to Identify Reuse Opportunities

Oliveira

Fernandes²,

Souza³

et al. 2017

iSys

View full text Add to dashboard Cite

Software reuse is a development strategy in which existing software components are used to implement new software systems. There are many advantages of applying software reuse, such as minimization of development efforts and improvement of software quality. Few methods have been proposed in the literature for recommendation of reuse opportunities. In this paper, we propose a method for identification and recommendation of reuse opportunities based on the similarity of the names of classes. Our method, called JReuse, computes a similarity function to identify similarly named classes from a set of software systems from a specific domain. The identified classes compose a repository with reuse opportunities. We also present a prototype tool to support the proposed method. We applied our method, through the tool, to 72 software systems mined from GitHub, in 4 different domains: accounting, restaurant, hospital, and e-commerce. In total, these systems have 1,567,337 lines of code, 57,017 methods, and 12,598 classes. As a result, we observe that JReuse is able to identify the main classes that are frequent in each selected domain.

show abstract

Section: Identification Of Reuse Opportunitiesmentioning

confidence: 99%

Section: Identification Of Reuse Opportunitiesmentioning

confidence: 99%

A Method Based on Naming Similarity to Identify Reuse Opportunities

Oliveira

Fernandes²,

Souza³

et al. 2017

iSys

View full text Add to dashboard Cite

show abstract

“…Oliveira et al [16] proposed a tool for recommendation of reusable assets. Their tool applies a technique that support software reuse and extraction of reusable assets called Automatic Identification of Software Components (AISC).…”

Section: Related Workmentioning

confidence: 99%

A Method Based on Naming Similarity to Identify Reuse Opportunities

Oliveira¹,

Fernandes²,

Souza³

et al. 2016

Anais Do Simpósio Brasileiro De Sistemas De Informação (SBSI)

View full text Add to dashboard Cite

Software reuse is a development strategy in which existing software components, called reusable assets, are used in the development of new software systems. There are many advantages of reuse in software development, such as minimization of development efforts and improvement of software quality. New methods for reusable asset extraction are essential to achieve these advantages. Extraction methods may be used in different contexts including software product lines derivation. However, few methods have been proposed in literature for reusable asset extraction and recommendation of these reuse opportunities. In this paper, we propose a method for extraction of reuse opportunities based on naming similarity of two types of object-oriented entities: classes and methods. Our method, called JReuse, computes a similarity function to identify similarly named classes and methods from a set of software systems from a domain. These classes and methods compose a repository with reuse opportunities. We also present a prototype tool to support the extraction by applying our method. We evaluate the method with 38 e-commerce information systems mined from GitHub. As a result, we observe that our method is able to identify classes and methods that are relevant in the e-commerce domain.

show abstract

“…[4] According to this, DigitalAssets Discoverer [3] is a tool developed to provide this support by using innovative mechanisms to scan the legacy applications and identify the components eligible for future reutilization. This process enables the return on investment already made in software development.…”

Section: Introductionmentioning

confidence: 99%

DigitalAssets discoverer

Gonçalves¹,

Oliveira

Bacili

2007

Companion to the 22nd ACM SIGPLAN Conference on Object-Oriented Programming Systems and Applications Companion

View full text Add to dashboard Cite

DigitalAssets Discoverer is a tool that implements a group of indicators for automatic identification of software components that can be reused in the development of new applications and Web Services. This tool brings into light the J2EE applications portfolio developed in-house, increasing productivity and anticipating the ROI in companies. The process of components harvesting and analysis uses an interactive user graphical interface that enables the tuning of selected indicators, visualization of the results and publishing the identified components into a reusable software development assets repository [1].

show abstract

Automatic Identification of Reusable Software Development Assets: Methodology and Tool

Cited by 4 publications

References 10 publications

A Method Based on Naming Similarity to Identify Reuse Opportunities

A Method Based on Naming Similarity to Identify Reuse Opportunities

A Method Based on Naming Similarity to Identify Reuse Opportunities

DigitalAssets discoverer

Contact Info

Product

Resources

About