Skip to main content
Springer Nature Link
Log in

Prototype Evidence for Estimation of Release Time for Open-Source Software Using Shannon Entropy Measure

  • Conference paper
  • First Online:
Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

Abstract

Software systems are updated either to provide more comfort to the users or to fix bugs present in the current version. Open-source software undergoes regular changes due to high user-end demand and frequent changes in code by the developer. Software companies try to make the interface more comfortable and user friendly, which requires frequent changes and updation at a certain period of time and addition of new features from time to time as per customer’s demand. In this paper, we have considered the bugs recorded in various bugzilla software releases and calculated the Shannon entropy for the changes in various software updates. We have applied multiple linear regression models to predict the next release time of the software. Performance has been measured using goodness-of-fit curve, different residual statistics and \(R^{2}\).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(379–423), 623–656 (1948)

    Article  MathSciNet  MATH  Google Scholar 

  2. Hassan, A.E.: Predicting Faults based on complexity of code change. In: Proceedings of 31st International Conference on Software Engineering, pp. 78–88 (2009)

    Google Scholar 

  3. Singh, V.B., Chaturvedi, K.K.: Improving the quality of software by quantifying the code change metric and predicting the bugs. In: Murgante, B. et al., (eds.), ICCSA 2013, Part II, LNCS 7972, pp. 408–426, 2013. © Springer-Verlag Berlin Heidelberg (2013)

    Google Scholar 

  4. D’Ambros, M., Lanza, M., Robbes, R.: An extensive comparison of bug prediction approaches. In MSR’10: Proceedings of the 7th International Working Conference on Mining Software Repositories, pp. 31–41 (2010)

    Google Scholar 

  5. Singh, V.B., Chaturvedi, K.K.: Entropy based bug prediction using support vector regression. In: Proceedings of 12th International Conference on Intelligent Systems Design and Applications during 27–29 Nov 2012 at CUSAT, Kochi (India). ISBN: 978-1-4673-5118-8_c 2012. IEEE Explore, pp. 746–751 (2012)

    Google Scholar 

  6. Garzarelli, G.: Open source software and the economics of organization. In: Bimer, J., Garrouste, P. (eds.) Markets, information and communication, pp. 47–62. Routledge, New York (2004)

    Chapter  Google Scholar 

  7. Bagnall, A., Rayward-Smith, V., Whittley, I.: The next re-lease problem. Inf. Softw. Technol. 43(14), 883–890 (2001). doi:10.1016/S0950-5849(01)00194-X

    Article  Google Scholar 

  8. Greer, D., Ruhe, G.: Software release planning: an evolutionary and iterative approach. Inf. Softw. Technol. 46(4), 243–253 (2004). doi:10.1016/j.infsof.2003.07.002

    Google Scholar 

  9. Baker, P., Harman, M., Steinhofel, K., Skaliotis, A.: Search based approaches to component selection and prioritization for the next release problem. In: Proceedings 22nd International Conferrence Software Maintenance (ICSM ’06), pp. 176–185, Sept. 2006. doi:10.1109/ICSM.2006.56

  10. Garey, M.R., Johnson, D.S.: Computers and intractability: a guide to the theory of NP-completeness, pp. 109–117. W.H. Freeman, New York (1979)

    Google Scholar 

  11. Cheng, B.H.C., Atlee, J.M.: Research directions in requirements engineering. In: Proceedings International Conference on Software Engineering Workshop Future of Software Engineering (FoSE ’07), pp. 285–303, May 2007. doi:10.1109/FOSE.2007.17

  12. Ngo-The, A., Ruhe, G.: Optimized resource allocation for software release planning. IEEE Trans. Softw. Eng. 35(1), 109–123 (2009). doi:10.1109/TSE.2008.80

    Article  Google Scholar 

  13. Jiang, H., Zhang, J., Xuan, J., Ren, Z., Hu, Y.: A hybrid ACO algorithm for the next release problem. In: Proceeding International Conference Software Engineering and Data Mining (SEDM ’10), pp. 166–171, June 2010

    Google Scholar 

  14. Xuan, J., Jiang, H., Ren, Z., Luo, Z.: Solving the large scale next release problem with a backbone based multilevel algorithm. IEEE Trans. Softw. Eng. 38(5), 1195–1212 (2012)

    Article  Google Scholar 

  15. Kapur, P.K., Singh, V.B., Singh, O.P., Singh, J.N.P.: Software release time based on multi attribute utility functions. Int. J. Reliab. Qual. Safety Eng. 20(4), 15 (2013)

    Google Scholar 

  16. Chaturvedi, K.K., Bedi, P., Mishra, S., Singh, V.B.: An empirical validation of the complexity of code changes and bugs in predicting the release time of open source software. In: IEEE 16th International Conference on Computational Science and Engineering (2013)

    Google Scholar 

  17. The bugZilla project. http://www.bugzilla.org

  18. Weisberg, S.: Applied Linear Regression. John Wiley and Sons (1980)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Applied Mathematics, Amity Institute of Applied Sciences, Amity University, Sector-125, Noida, Uttar Pradesh, India

    H. D. Arora,  Ramita Sahni &  Talat Parveen

Authors
  1. H. D. Arora
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ramita Sahni
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Talat Parveen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to H. D. Arora .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Dept of Mathematics, South Asian University New Delhi, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Arora, H.D., Ramita Sahni, Talat Parveen (2016). Prototype Evidence for Estimation of Release Time for Open-Source Software Using Shannon Entropy Measure. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_61

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-0451-3_61

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0450-6

  • Online ISBN: 978-981-10-0451-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics