scholarly journals Mining Software Repositories for Automatic Interface Recommendation

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Xiaobing Sun ◽  
Bin Li ◽  
Yucong Duan ◽  
Wei Shi ◽  
Xiangyue Liu
Keyword(s):  
Software Development ◽  
Open Source ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Mining Software Repositories ◽  
Software Project ◽  
Previous Approach ◽  
Software Repositories ◽  
Dirichlet Allocation

There are a large number of open source projects in software repositories for developers to reuse. During software development and maintenance, developers can leverage good interfaces in these open source projects and establish the framework of the new project quickly when reusing interfaces in these open source projects. However, if developers want to reuse them, they need to read a lot of code files and learn which interfaces can be reused. To help developers better take advantage of the available interfaces used in software repositories, we previously proposed an approach to automatically recommend interfaces by mining existing open source projects in the software repositories. We mainly used the LDA (Latent Dirichlet Allocation) topic model to construct the Feature-Interface Graph for each software project and recommended the interfaces based on the Feature-Interface Graph. In this paper, we improve our previous approach by clustering the recommending interfaces on the Feature-Interface Graph, which can recommend more accurate interfaces for developers to reuse. We evaluate the effectiveness of the improved approach and the results show that the improved approach can be more efficient to recommend more accurate interfaces for reuse over our previous work.

scholarly journals Intelligent radar software defect classification approach based on the latent Dirichlet allocation topic model

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Xi Liu ◽  
Yongfeng Yin ◽  
Haifeng Li ◽  
Jiabin Chen ◽  
Chang Liu ◽  
...  
Keyword(s):  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Recall Rate ◽  
Defect Classification ◽  
Software Defects ◽  
Classification Approach ◽  
Software Defect ◽  
Model Combining ◽  
Dirichlet Allocation

AbstractExisting software intelligent defect classification approaches do not consider radar characters and prior statistics information. Thus, when applying these appaoraches into radar software testing and validation, the precision rate and recall rate of defect classification are poor and have effect on the reuse effectiveness of software defects. To solve this problem, a new intelligent defect classification approach based on the latent Dirichlet allocation (LDA) topic model is proposed for radar software in this paper. The proposed approach includes the defect text segmentation algorithm based on the dictionary of radar domain, the modified LDA model combining radar software requirement, and the top acquisition and classification approach of radar software defect based on the modified LDA model. The proposed approach is applied on the typical radar software defects to validate the effectiveness and applicability. The application results illustrate that the prediction precison rate and recall rate of the poposed approach are improved up to 15 ~ 20% compared with the other defect classification approaches. Thus, the proposed approach can be applied in the segmentation and classification of radar software defects effectively to improve the identifying adequacy of the defects in radar software.

scholarly journals GrimoireLab: A toolset for software development analytics

2021 ◽  
Vol 7 ◽  
pp. e601
Author(s):  
Santiago Dueñas ◽  
Valerio Cosentino ◽  
Jesus M. Gonzalez-Barahona ◽  
Alvaro del Castillo San Felix ◽  
Daniel Izquierdo-Cortazar ◽  
...  
Keyword(s):  
Software Development ◽  
Preliminary Analysis ◽  
Data Retrieval ◽  
Mining Software Repositories ◽  
Data Sources ◽  
Data Sets ◽  
Community Based ◽  
Academic Environments ◽  
Software Repositories ◽  
Main Components

Background After many years of research on software repositories, the knowledge for building mature, reusable tools that perform data retrieval, storage and basic analytics is readily available. However, there is still room to improvement in the area of reusable tools implementing this knowledge. Goal To produce a reusable toolset supporting the most common tasks when retrieving, curating and visualizing data from software repositories, allowing for the easy reproduction of data sets ready for more complex analytics, and sparing the researcher or the analyst of most of the tasks that can be automated. Method Use our experience in building tools in this domain to identify a collection of scenarios where a reusable toolset would be convenient, and the main components of such a toolset. Then build those components, and refine them incrementally using the feedback from their use in both commercial, community-based, and academic environments. Results GrimoireLab, an efficient toolset composed of five main components, supporting about 30 different kinds of data sources related to software development. It has been tested in many environments, for performing different kinds of studies, and providing different kinds of services. It features a common API for accessing the retrieved data, facilities for relating items from different data sources, semi-structured storage for easing later analysis and reproduction, and basic facilities for visualization, preliminary analysis and drill-down in the data. It is also modular, making it easy to support new kinds of data sources and analysis. Conclusions We present a mature toolset, widely tested in the field, that can help to improve the situation in the area of reusable tools for mining software repositories. We show some scenarios where it has already been used. We expect it will help to reduce the effort for doing studies or providing services in this area, leading to advances in reproducibility and comparison of results.

The surveillance of a supreme audit institution on related party transactions

2020 ◽  
Vol 32 (4) ◽  
pp. 577-603
Author(s):  
Gustavo Cesário ◽  
Ricardo Lopes Cardoso ◽  
Renato Santos Aranha
Keyword(s):  
Public Sector ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Conflicts Of Interest ◽  
International Standards ◽  
Content Type ◽  
Related Party Transactions ◽  
The Public ◽  
Audit Reports ◽  
Dirichlet Allocation

PurposeThis paper aims to analyse how the supreme audit institution (SAI) monitors related party transactions (RPTs) in the Brazilian public sector. It considers definitions and disclosure policies of RPTs by international accounting and auditing standards and their evolution since 1980.Design/methodology/approachBased on archival research on international standards and using an interpretive approach, the authors investigated definitions and disclosure policies. Using a topic model based on latent Dirichlet allocation, the authors performed a content analysis on over 59,000 SAI decisions to assess how the SAI monitors RPTs.FindingsThe SAI investigates nepotism (a kind of RPT) and conflicts of interest up to eight times more frequently than related parties. Brazilian laws prevent nepotism and conflicts of interest, but not RPTs in general. Indeed, Brazilian public-sector accounting standards have not converged towards IPSAS 20, and ISSAI 1550 does not adjust auditing procedures to suit the public sector.Research limitations/implicationsThe SAI follows a legalistic auditing approach, indicating a need for regulation of related public-sector parties to improve surveillance. In addition to Brazil, other code law countries might face similar circumstances.Originality/valuePublic-sector RPTs are an under-investigated field, calling for attention by academics and standard-setters. Text mining and latent Dirichlet allocation, while mature techniques, are underexplored in accounting and auditing studies. Additionally, the Python script created to analyse the audit reports is available at Mendeley Data and may be used to perform similar analyses with minor adaptations.

Coordination in Agile and Open Source

2010 ◽  
pp. 51-74
Author(s):  
Barbara Russo ◽  
Marco Scotto ◽  
Alberto Sillitti ◽  
Giancarlo Succi
Keyword(s):  
Software Development ◽  
Open Source ◽  
Software Industry ◽  
Software Project ◽  
Critical Problem ◽  
Software Companies ◽  
New Development ◽  
Points Of View ◽  
Silver Bullet ◽  
Software Crisis

Although the situation in the software industry is improved in the last years, the percentage of software project cancelled 18%, or challenged (late, over budget, and with less than the required features) 53% is still high1. Researchers and practitioners are looking for the magic solution or the silver bullet that will allow software companies to overcome the software crisis (Brooks, 1987). New development approaches like AMs and OSD models are some of the solutions identified (Feller & Fitzgerald, 2002; Abrahamsson et al., 2003). One critical problem in software development consist of coordinating interdependent processes involving many interacting stakeholders with different interests, points of view, and expectations (Toffolon & Dakhli, 2000).

Linguistic and Personological Features of the Doka & Martin Grieving Style Continuum

2021 ◽  
Author(s):  
James Geisler ◽  
Cass Dykeman
Keyword(s):  
Corpus Linguistics ◽  
Language Use ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Psychological Processes ◽  
Clinical Vignettes ◽  
Present Tense ◽  
Dirichlet Allocation

While there is extensive research on the adaptive grief styles developed by Doka and Martin, this study is the first of its kind to explore the language used among each style of grief. This study used clinical vignettes from a variety of sources on instrumental and intuitive grieving in an attempt to decipher the language use across various linguistic and psychological processes. Following this analysis, latent Dirichlet allocation (LDA) was used fitting a two-topic model to analyze differences between topics while additionally performing a supervised LDA analysis. The strongest data from this study relate to intuitive grief, which found a higher use of present-tense language in comparison to the instrumental grief style. In addition, results found that the language used by intuitive grievers is slightly more distinguishable than that of its instrumental counterpart. Several implications for counseling and research were developed in response to these findings.Keywords: corpus linguistics, grieving, instrumental grieving, intuitive grieving, LIWC, latent Dirichlet allocation (LDA).

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