An Improved Approach to the Recovery of Traceability Links between Requirement Documents and Source Codes Based on Latent Semantic Indexing

1. Dit, B., Revelle, M., Gethers, M., Poshyvanyk, D.: Feature location in source code: a taxonomy and survey. Journal of Software Maintenance and Evolution: Research and Practice 25(1), 53–95 (2013)

   Google Scholar 

2. Marcus, A., Maletic, J.I., Sergeyev, A.: Recovery of Traceability Links between Software Documentation and Source Code. Int’l Journal of Software Engineering and Knowledge Engineering 15(4), 811–836 (2005)

   Google Scholar 

3. IBM, http://www-306.ibm.com/software/awdtools/reqpro/

4. IBM, http://www.teleogic.com/index.cfm

5. Tai, X.Y.: Introduction to Information Retrieval Technology. Science and Technology (2006)

   Google Scholar 

6. Antioniol, G., Canfora, G., Casazza, G., Lucia, A.D., Merlo, E.: Recovering Traceability Links between Code and Documentation. IEEE Trans. J. Soft. Eng. 28(10), 970–983 (2002)

   Google Scholar 

7. Hayes, J.H., Dekhtyar, A., Osborne, J.: Improving Requirement Tracing via Information Retrieval. In: 11th IEEE Int’l Conf. Requirements Engineering, pp. 138–147 (2003)

   Google Scholar 

8. Cleland-Huang, J., Settimi, R., Duan, C., Zou, X.C.: Utilizing Supporting Evidence to Improve Dynamic Requirements Traceability. In: 13th IEEE Int’l Conf. Requirements Engineering, pp. 135–144 (2005)

   Google Scholar 

9. Marcus, A., Maletic, J.I.: Recovering Documentation to Source Code Traceability Links Using Latent Semantic Indexing. In: 25th Int’l Conf. Software Engineering, pp. 125–135 (2003)

   Google Scholar 

10. Yin, L., Juan, L., Shu, L.M.: Research on Dynamic Requirement Traceability Method and Traces Precision. Journal of Software 20(2), 177–192 (2009)

    Google Scholar 

11. Zeimpekis, D., Gallopoulos, E.: Design of a Matlab Toolbox for Term-Document Matrix Generation. In: Workshop on Clustering High Dimensional Data and Its Applications, pp. 38–48 (2005)

    Google Scholar 

12. Zou, X., Settimi, R., Cleland-Huang, J.: Improving Automated Requirements Trace Retrieval: a Study of Term-based Enhancement Methods. Empirical Software Engineering 15(2) (2010)

    Google Scholar 

13. Abadi, A., Oliveto, R., Tortora, G.: Assessing IR-based Traceability Recovery Tools through Controlled Experiment. Empirical Software Engineering 14(1), 57–92 (2009)

    Google Scholar 

14. Bacchelli, A., Lanza, M., Robbes, R.: Linking e-mails and Source Code Artifacts. In: 32nd ACM/IEEE Int’l Conf. Software Engineering., vol. 1, pp. 375–384 (2010)

    Google Scholar 

15. Gueheneuc, Y.G., Marcus, A., Antoniol, G., Rajlich, V.: Feature Location Using Probabilistic Ranking of Methods based on Execution Scenarios and Information Retrieval. IEEE Trans. J. Software Engineering 33(6), 420–432 (2007)

    Google Scholar 

16. Lucia, A.D., Penta, M.D., Oliveto, R., Panichella, A., Panichella, S.: Improving IR-based Traceability Recovery Using Smoothing Filters. In: 19th Int’l Conf. Program Comprehension, pp. 21–30 (2011)

    Google Scholar 

17. Capobianco, G., Lucia, A.D., Oliveto, R., Panichella, A., Panichella, S.: On the Role of the Nouns in IR-based Traceability Recovery. In: 17th Int’l Conf. Program Comprehension, pp. 148–157 (2009)

    Google Scholar 

18. Yu, D., Yan, D.: Crosscutting concerns identifying based on execution patterns and fan-in analysis. Journal of Huazhong University of Science and Technology (Natural Science Edition) 40(1), 45–48 (2012)

    Google Scholar 

Download references