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This edited e-book provides medical result of the thirteenth IEEE/ACIS foreign convention on desktop and data technological know-how (ICIS 2014) which was once hung on June 4-6, 2014 in Taiyuan, China. the purpose of this convention was once to collect researchers and scientists, businessmen and marketers, academics, engineers, laptop clients, and scholars to debate the various fields of desktop technology and to percentage their stories and trade new rules and knowledge in a significant approach. examine effects approximately all elements (theory, purposes and instruments) of desktop and knowledge technological know-how, and to debate the sensible demanding situations encountered alongside the best way and the recommendations followed to resolve them.
The convention organizers chosen the easiest papers from these papers authorised for presentation on the convention. The papers have been selected in keeping with evaluate ratings submitted by means of individuals of this system committee, and underwent additional rigorous rounds of evaluation. This ebook captures 14 of the conference’s so much promising papers, and we impatiently look ahead to the $64000 contributions that we all know those authors will carry to the sector of desktop and knowledge technological know-how.
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References 1. : Topic models versus unstructured data. Commun. ACM 53(12), 16–18 (2010) 2. : Reuse or rewrite: Combining textual, static, and dynamic analyses to assess the cost of keeping a system up-to-date. In: 24th IEEE International Conference on Software Maintenance, pp. 147–156 (2008) 3. : Recovering traceability links between code and documentation. IEEE Trans. Software Eng. 28(10), 970–983 (2002) 4. : Matching words and pictures. J. Mach. Learn. Res. 3, 1107–1135 (2003) 5. : Latent dirichlet allocation.
The recall results are shown in Fig. 3. It shows that most of the recall values are decreased after information filtering process. However, the degree of the deceasing values is not big. Hence, we can obtain that only a small amount of related information is filtered during the process, which has few effect on software maintenance and evolution. 5 Conclusion and Future Work This paper proposed a novel approach which can improve the effectiveness of traditional SHR-based software maintenance tasks.
J. Mach. Learn. Res. 3, 1107–1135 (2003) 5. : Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003) 6. : Software Change Impact Analysis. IEEE Computer Society Press, Los Alamitos (1996) 7. : Applying a smoothing filter to improve ir-based traceability recovery processes: An empirical investigation. Inf. Softw. Technol. 55(4), 741–754 (2013) 8. : Feature location in source code: a taxonomy and survey. J. Softw. Evol. Process 25(1), 53–95 (2013) 9. : Integrating information retrieval, execution and link analysis algorithms to improve feature location in software.