This edited ebook provides clinical result of the thirteenth IEEE/ACIS overseas convention on desktop and knowledge technological know-how (ICIS 2014) which used to be hung on June 4-6, 2014 in Taiyuan, China. the purpose of this convention was once to compile researchers and scientists, businessmen and marketers, academics, engineers, machine clients, and scholars to debate the various fields of machine technology and to percentage their reports and alternate new rules and data in a significant manner. examine effects approximately all features (theory, purposes and instruments) of desktop and data technological know-how, and to debate the sensible demanding situations encountered alongside the best way and the options followed to resolve them.

The convention organizers chosen the simplest papers from these papers approved for presentation on the convention. The papers have been selected in keeping with evaluate ratings submitted via individuals of this system committee, and underwent additional rigorous rounds of evaluation. This e-book captures 14 of the conference’s such a lot promising papers, and we impatiently look forward to the real contributions that we all know those authors will carry to the sphere of computing device and knowledge technology.

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Specific details on the process of the identification of the bug reports and changed classes can refer to [20]. With the change set, we applied ROSE to compute the Estimated Set. Then, precision and recall values are computed based on the Actual Set and Estimated Set. , ROSE′ . 2 Empirical Results We first see the precision results of ROSE before (ROSE) and after (ROSE′ ) software historical data filtering. The results are shown in Fig. 2. From the results, we see that all the precision values of ROSE are improved after software historical data filtering.

Empir. Softw. Eng. 18(2), 277–309 (2013) 10. : Automatic detection of bad smells in code: an experimental assessment. J. Object Technol. 11(2), 5:1–5:38 (2012) 11. : Predicting change propagation in software systems. In: 20th International Conference on Software Maintenance, pp. 284–293 (2004) 12. : A survey and taxonomy of approaches for mining software repositories in the context of software evolution. J. Softw. Maintenance 19(2), 77–131 (2007) 13. : Integrating conceptual and logical couplings for change impact analysis in software.

3 Approach Our main focus in this paper is to provide an effective way to automatically extract related information from the SHR to provide support of software maintenance tasks. The process of our approach is shown in Fig. 1, which can be seen as a preprocess to What Information in Software Historical Repositories Do We Need … 31 traditional SHR-based techniques. Given a maintenance task or request, we need some related information in SHR to well support comprehension, analysis and implementation of this request.

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