TOWARDS AUTOMATIC UPDATES OF SOFTWARE DEPENDENCIES BASED ON ARTIFICIAL INTELLIGENCE

http://dx.doi.org/10.31703/gssr.2020(V-III).19      10.31703/gssr.2020(V-III).19      Published : Sep 3
Authored by : Naveed Jhamat , Zeeshan Arshad , Kashif Riaz

19 Pages : 174-180

References

  • Berhe, S., Maynard, M., & Khomh, F. (2020). Software Release Patterns When is it a good time to update a software component? Procedia Computer Science, 170, 618-625.
  • Kula, R. G., German, D. M., Ouni, A., Ishio, T., & Inoue, K. (2018). Do developers update their library dependencies? Empirical Software Engineering, 23(1), 384-417.
  • Cadariu, M., Bouwers, E., Visser, J., & van Deursen, A. (2015, March). Tracking known security vulnerabilities in proprietary software systems. In 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) (pp. 516-519). IEEE. https://greenkeeper.io/ https://travis-ci.com/
  • Hilton, M., Tunnell, T., Huang, K., Marinov, D., & Dig, D. (2016, September). Usage, costs, and benefits of continuous integration in open-source projects. In 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 426-437). IEEE.
  • Dackebro, E. (2019). An empirical investigation into problems caused by breaking changes in API evolution.
  • GitHub. (2020) https://github.com/.
  • NISTNVD. (2020) https://semver.org/.
  • Tsantalis, N., Mansouri, M., Eshkevari, L., Mazinanian, D., & Dig, D. (2018, May). Accurate and efficient refactoring detection in commit history. In 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) (pp. 483-494). IEEE.
  • Rasool, G., & Arshad, Z. (2015). A review of code smell mining techniques. Journal of Software: Evolution and Process, 27(11), 867-895.
  • Rasool, G., & Arshad, Z. (2017). A lightweight approach for detection of code smells. Arabian Journal for Science and Engineering, 42(2), 483-506.
  • Chávez, A., Ferreira, I., Fernandes, E., Cedrim, D., & Garcia, A. (2017, September). How does refactoring affect internal quality attributes? A multi-project study. In Proceedings of the 31st Brazilian Symposium on Software Engineering (pp. 74-83).
  • AlOmar, E. A., Mkaouer, M. W., Ouni, A., & Kessentini, M. (2019, September). On the impact of refactoring on the relationship between quality attributes and design metrics. In 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (pp. 1-11). IEEE.
  • Xavier, L., Brito, A., Hora, A., & Valente, M. T. (2017, February). Historical and impact analysis of API breaking changes: A large-scale study. In 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 138-147). IEEE.
  • Mirhosseini, S., & Parnin, C. (2017, October). Can automated pull requests encourage software developers to upgrade out-of-date dependencies? In 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 84-94). IEEE. https://daviddm.org/
  • Brito, A., Xavier, L., Hora, A., & Valente, M. T. (2018, March). APIDiff: Detecting API breaking changes. In 2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 507-511). IEEE.
  • Pashchenko, I., Vu, D. L., & Massacci, F. (2020, October). A qualitative study of dependency management and its security implications. In Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security (pp. 1513-1531).

References

  • Berhe, S., Maynard, M., & Khomh, F. (2020). Software Release Patterns When is it a good time to update a software component? Procedia Computer Science, 170, 618-625.
  • Kula, R. G., German, D. M., Ouni, A., Ishio, T., & Inoue, K. (2018). Do developers update their library dependencies? Empirical Software Engineering, 23(1), 384-417.
  • Cadariu, M., Bouwers, E., Visser, J., & van Deursen, A. (2015, March). Tracking known security vulnerabilities in proprietary software systems. In 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) (pp. 516-519). IEEE. https://greenkeeper.io/ https://travis-ci.com/
  • Hilton, M., Tunnell, T., Huang, K., Marinov, D., & Dig, D. (2016, September). Usage, costs, and benefits of continuous integration in open-source projects. In 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 426-437). IEEE.
  • Dackebro, E. (2019). An empirical investigation into problems caused by breaking changes in API evolution.
  • GitHub. (2020) https://github.com/.
  • NISTNVD. (2020) https://semver.org/.
  • Tsantalis, N., Mansouri, M., Eshkevari, L., Mazinanian, D., & Dig, D. (2018, May). Accurate and efficient refactoring detection in commit history. In 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) (pp. 483-494). IEEE.
  • Rasool, G., & Arshad, Z. (2015). A review of code smell mining techniques. Journal of Software: Evolution and Process, 27(11), 867-895.
  • Rasool, G., & Arshad, Z. (2017). A lightweight approach for detection of code smells. Arabian Journal for Science and Engineering, 42(2), 483-506.
  • Chávez, A., Ferreira, I., Fernandes, E., Cedrim, D., & Garcia, A. (2017, September). How does refactoring affect internal quality attributes? A multi-project study. In Proceedings of the 31st Brazilian Symposium on Software Engineering (pp. 74-83).
  • AlOmar, E. A., Mkaouer, M. W., Ouni, A., & Kessentini, M. (2019, September). On the impact of refactoring on the relationship between quality attributes and design metrics. In 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (pp. 1-11). IEEE.
  • Xavier, L., Brito, A., Hora, A., & Valente, M. T. (2017, February). Historical and impact analysis of API breaking changes: A large-scale study. In 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 138-147). IEEE.
  • Mirhosseini, S., & Parnin, C. (2017, October). Can automated pull requests encourage software developers to upgrade out-of-date dependencies? In 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 84-94). IEEE. https://daviddm.org/
  • Brito, A., Xavier, L., Hora, A., & Valente, M. T. (2018, March). APIDiff: Detecting API breaking changes. In 2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 507-511). IEEE.
  • Pashchenko, I., Vu, D. L., & Massacci, F. (2020, October). A qualitative study of dependency management and its security implications. In Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security (pp. 1513-1531).

Cite this article

APA

    APA : Jhamat, N., Arshad, Z., & Riaz, K. (2020). Towards Automatic Updates of Software Dependencies based on Artificial Intelligence. Global Social Sciences Review, V(III), 174-180. https://doi.org/10.31703/gssr.2020(V-III).19

CHICAGO

    CHICAGO : Jhamat, Naveed, Zeeshan Arshad, and Kashif Riaz. 2020. "Towards Automatic Updates of Software Dependencies based on Artificial Intelligence." Global Social Sciences Review, V (III): 174-180 doi: 10.31703/gssr.2020(V-III).19

HARVARD

    HARVARD : JHAMAT, N., ARSHAD, Z. & RIAZ, K. 2020. Towards Automatic Updates of Software Dependencies based on Artificial Intelligence. Global Social Sciences Review, V, 174-180.

MHRA

    MHRA : Jhamat, Naveed, Zeeshan Arshad, and Kashif Riaz. 2020. "Towards Automatic Updates of Software Dependencies based on Artificial Intelligence." Global Social Sciences Review, V: 174-180

MLA

    MLA : Jhamat, Naveed, Zeeshan Arshad, and Kashif Riaz. "Towards Automatic Updates of Software Dependencies based on Artificial Intelligence." Global Social Sciences Review, V.III (2020): 174-180 Print.

OXFORD

    OXFORD : Jhamat, Naveed, Arshad, Zeeshan, and Riaz, Kashif (2020), "Towards Automatic Updates of Software Dependencies based on Artificial Intelligence", Global Social Sciences Review, V (III), 174-180

TURABIAN

    TURABIAN : Jhamat, Naveed, Zeeshan Arshad, and Kashif Riaz. "Towards Automatic Updates of Software Dependencies based on Artificial Intelligence." Global Social Sciences Review V, no. III (2020): 174-180. https://doi.org/10.31703/gssr.2020(V-III).19