Situation Analytics: A Foundation for a New Software Engineering Paradigm

Carl K. Chang

doi:10.1109/MC.2016.21

Computer

Situation Analytics: A Foundation for a New Software Engineering Paradigm

Jan. 2016, pp. 24-33, vol. 49

DOI Bookmark: 10.1109/MC.2016.21

Authors

Carl K. Chang, Iowa State University

Keywords

Cognition, Context Awareness, Machine Learning, Services Computing, Software Engineering, Aware Computing, Cognitive Science, Context Awareness, Human Computer Interaction, Machine Learning, Requirements Engineering, Runtime Adaptation, Services Computing, Situation Awareness

Abstract

Advances in cognitive science along with modern-day smart technologies and software services that take into account our mental state will enable a software industry that is poised to meet customers' needs on the fly in new and truly individualized ways.

Like what you’re reading?

Already a member?

Get this article FREE with a new membership!

References

1.H. Xu, “Future Research Directions of Software Engineering and Knowledge Engineering,” Int’l J. Software Eng. and Knowledge Eng., vol. 25, no. 2,2015, p. 415.

2.M. Harman, “Software Engineering Meets Evolutionary Computation,” Computer, vol. 44, no. 10, Oct.2011, pp. 31–39.

3.A. Dardenne, A. van Lamsweerde, and S. Fickas, “Goal-Directed Requirements Acquisition,” Science of Computer Programming, vol. 20, nos. 1–2, 1993, pp. 3–50.

4.A. Sutcliffe, S. Fickas, and M.M. Sohlberg, “Personal and Contextual Requirements Engineering,” Proc. 13th IEEE Int’l Requirements Eng. Conf. (RE 05), 2005, pp. 19–28.

5.R. Picard, “Affective Computing for HCI,” Proc. 8th Int’l Conf. Human-Computer Interaction: Ergonomics and User Interfaces, 1999, pp. 829–833.

6.D. Rozado and A. Dunser, “Combining EEG with Pupillometry to Improve Cognitive Workload Detection,” Computer, vol. 48, no, 10, 2015, pp. 18–25.

7.B.N. Schilit and M.M. Theimer, “Disseminating Active Map Information to Mobile Hosts,” IEEE Network, vol. 8, no. 5, 1994, pp. 22–32.

8.C.K. Chang and B. Schilit, “Aware Computing,” Computer, vol. 47, no. 4, 2014, pp. 20–21.

9.C.K. Chang et al., “Situ: A Situation-Theoretic Approach to Context-Aware Service Evolution,” IEEE Trans. Services Computing, vol. 2, no. 3, 2009, pp. 261–275.

10.S.S. Yau et al., “Specification, Decomposition and Agent Synthesis for Situation-Aware Service-Based Systems,” J. Systems and Software, vol. 81, no. 10, 2008, pp. 1663–1680.

11.D. Lee and S. Helal, “From Activity Recognition to Situation Recognition,” Inclusive Society: Health and Wellbeing in the Community, and Care at Home, J. Biswas et al., eds., LNCS 7910, Springer, 2013, pp. 245–251.

12.M.R. Endsley, “Toward a Theory of Situation Awareness in Dynamic Systems,” Human Factors, vol. 37, no. 1, 1995, pp. 32–64.

13.B.M. Champagne and L.A. Pervin, “The Relation of Perceived Situation Similarity to Perceived Behavior Similarity: Implications for Social Learning Theory,” European J. Personality, vol. 1, no. 2, 1987, pp. 79–91.

14.M. Matthews, S. Abdullah, and G. Gay, “Tracking Mental Well-Being: Balancing Rich Sensing and Patient Needs,” Computer, vol. 47, no. 4, 2014, pp. 36–43.

15.M.E. Bratman, Intention, Plans, and Practical Reason, CSLI Publications, 1999.

16.J.A. Pruszynski and J. Diedrichsen, “Reading the Mind to Move the Body,” Science, vol. 348, no. 6237, May2015, pp. 860–861.

17.C. Le Goues et al., “GenProg: A Generic Method for Automatic Software Repair,” IEEE Trans. Software Eng., vol. 38, no. 1, 2012, pp. 54–72.

18.J. Whittle et al., “Relax: Incorporating Uncertainty into the Specification of Self-Adaptive System,” Proc. 17th IEEE Int’l Requirements Eng. Conf. (RE 09), 2009, pp. 79–88.

19.C.E. Otero and A. Peter, “Research Directions for Engineering Big Data Analytics Software,” IEEE Intelligent Systems, vol. 30, no. 1, 2015, pp. 13–19.

20.H. Ming, “Situf: A Domain Specific Language and a First Step Towards the Realization of Situ Framework,” PhD dissertation, Dept. Computer Science, Iowa State Univ., 2012.

21.J. Dong, C.K. Chang, and H.-I. Yang, “Identifying Factors for Human Desire Inference in Smart Home Environments,” Proc. Int’l Conf. Smart Homes and Health Telematics (ICOST 13), 2013, pp. 230–237.

22.H. Xie and C.K. Chang, “Detection of New Intentions from Users Using the CRF Method for Software Service Evolution in Context-Aware Environments,” Proc. IEEE 39th Ann. Int’l Computers, Software & Applications Conf. (COMPSAC 15), 2015, pp. 71–76.

23.C.K. Chang et al., “Function-Class Decomposition: A Hybrid Software Engineering Method,” Computer, vol. 34, no. 12, 2001, pp. 87–93.

Requirements engineering using the SOS paradigm
Proceedings of the IEEE International Symposium on Requirements Engineering
Using Intentions and Plans of Mobile Activities to Guide Geospatial Web Service Composition
2010 Asia-Pacific Services Computing Conference (APSCC 2010)
Special session - prepare locally to engineer globally: Embedding a global citizenship foundation into engineering curricula
2008 38th Annual Frontiers in Education Conference
Opportunistic and Context-Aware Affect Sensing on Smartphones
IEEE Pervasive Computing
Social Cloud-Based Cognitive Reasoning for Task-Oriented Recommendation
IEEE Cloud Computing
Cognitive Computing, Analytics, and Personalization
IT Professional
iForest: Interpreting Random Forests via Visual Analytics
IEEE Transactions on Visualization & Computer Graphics
Machine Learning Based Approach for Context Aware System
2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
Machine Learning for a Context Mining Facility
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Situation Analytics: A Foundation for a New Software Engineering Paradigm

Authors

Keywords

Abstract

References

Related Articles