TY  - JOUR
T1  - THE ROLE OF SOCIAL SOFTWARE ENGINEERING IN THE DESIGN OF PRIVACY-AWARE INFORMATION SYSTEMS
TT  - THE ROLE OF SOCIAL SOFTWARE ENGINEERING IN THE DESIGN OF PRIVACY-AWARE INFORMATION SYSTEMS
AU  - Kalloniatis, Christos
AU  - Vgena, Aikaterini
AU  - Kavroudakis, Dimitris
AU  - Kitsiou, Angeliki
PY  - 2018
DA  - November
JF  - Dördüncü Kuvvet Uluslararası Hakemli Dergi
PB  - Aydın Adnan Menderes  Üniversitesi
WT  - DergiPark
SN  - 2636-8633
SP  - 116
EP  - 129
VL  - 1
IS  - 2
LA  - en
AB  - Social Software Engineering is a new field of study that aims to identify how social aspects interact and affect the design of software during the software development cycle. The identification of social parameters and criteria that affect the elicitation of technical, functional and non-functional requirements is a critical step for the system to be. Protecting users’ privacy on the other hand, is also critical since users tend to utilize services and applications they trust especially regarding the manipulationand handling of their personal information. At the same time users are inclined toexpress their privacy concerns regarding mobile applications that store and disseminatevarious privacy related information e.g. geolocation data. The social parameters andsocial criteria which are indicative for setting requirements and designing softwarefocusing on privacy issues by previous literature, are explored, focusing on users’ socialidentity and geolocation data in social media. Drawing on Social, Information andCommunication and Geolocation Theories, users’ special characteristics of socialidentity- multiplicity, permeability and overlapping- will be explored, as well as theirpossible revealing information by utilizing geolocation services - space of actions,frames-, in order to identify users’ faces in this field. This work aims to broadenunderstanding of users’ digital identities and geolocation data impact through aninterdisciplinary approach, on the setting of requirements elicitation and modellingapproaches for designing privacy-aware systems.
KW  - SOCIAL
KW  - SOFTWARE
KW  - DESIGN
N2  - Social Software Engineering is a new fieldof study that aims to identify how social aspects interact and affect thedesign of software during the software development cycle. The identification ofsocial parameters and criteria that affect the elicitation of technical,functional and non-functional requirements is a critical step for the system tobe. Protecting users’ privacy on the other hand, is also critical since userstend to utilize services and applications they trust especially regarding themanipulation and handling of their personal information. At the same time usersare inclined to express their privacy concerns regarding mobile applicationsthat store and disseminate various privacy related information e.g. geolocationdata. The social parameters and social criteria which are indicative forsetting requirements and designing software focusing on privacy issues byprevious literature, are explored, focusing on users’ social identity andgeolocation data in social media. Drawing on Social, Information andCommunication and Geolocation Theories, users’ special characteristics ofsocial identity- multiplicity, permeability and overlapping- will be explored,as well as their possible revealing information by utilizing geolocationservices - space of actions, frames-, in order to identify users’ faces in thisfield. This work aims to broaden understanding of users’ digital identities andgeolocation data impact through an interdisciplinary approach, on the settingof requirements elicitation and modelling approaches for designingprivacy-aware systems.
CR  - Abbattista, F., Calefato, F., Gendarmi, D., & Lanubile, F. (2008). Incorporating social software into distributed agile development environments. In Proceedings of the 23rd IEEE/ACM International Conference on Automated Software Engineering (pp. II–46). IEEE Press. Retrieved from http://dl.acm.org/citation.cfm?id=3107639Balicki, J., WSEAS (Organization), International Conference on Artificial Intelligence, K. E. and D. B., IEEE International Conference on Fuzzy Systems, & IEEE International Conference on Neural Networks (Eds.). (2014). Advances in neural networks, fuzzy systems and artifical intelligence: Proceedings of the 13th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED ’14) ; Proceedings of the 15th International Conference on Fuzzy Systems (FS ’14) ; Proceedings of the 15th International Conference on Neural Networks (NN ’14) : Gdansk, Poland, May 15-17, 2014.Barkhuus, L., & Dey, A. K. (2003). Location-Based Services for Mobile Telephony: a Study of Users’ Privacy Concerns. In Interact (Vol. 3, pp. 702–712).Beresford, A. R., & Stajano, F. (2003). Location privacy in pervasive computing. IEEE Pervasive Computing, 2(1), 46–55. https://doi.org/10.1109/MPRV.2003.1186725Bettini, C., Wang, X. S., & Jajodia, S. (2005). Protecting privacy against location-based personal identification. In Workshop on Secure Data Management (pp. 185–199). Springer.Consolvo, S., Smith, I. E., Matthews, T., LaMarca, A., Tabert, J., & Powledge, P. (2005). Location disclosure to social relations: why, when, & what people want to share. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 81–90). ACM.Cramer, H., Rost, M., & Holmquist, L. E. (2011). Performing a check-in: emerging practices, norms and’conflicts’ in location-sharing using foursquare. In Proceedings of the 13th international conference on human computer interaction with mobile devices and services (pp. 57–66). ACM.Duckham, M., & Kulik, L. (2005). A Formal Model of Obfuscation and Negotiation for Location Privacy. In Pervasive Computing (pp. 152–170). Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428572_10Duckham, M., & Kulik, L. (2006). Location privacy and location-aware computing. Dynamic & Mobile GIS: Investigating Change in Space and Time, 3, 35–51.Fabio Massacci, Marco Prest and Nicola Zannone. (200AD). USING A SECURITY REQUIREMENTS ENGINEERING  METHODOLOGY IN  PRACTICE: THE COMPLIANCE WITH  THE ITALIAN DATA PROTECTION LEGISLATION.Jenkins, R. (2008). Social identity (3rd ed). London ; New York: Routledge.Lahlou, S. (2008). Identity, social status, privacy and face-keeping in digital society. Social Science Information, 47(3), 299–330. https://doi.org/10.1177/0539018408092575Liu, L. (2007). From data privacy to location privacy: models and algorithms. In Proceedings of the 33rd international conference on Very large data bases (pp. 1429–1430). VLDB Endowment.Miguel, C., & Medina, P. (2011). The Transformation of Identity and Privacy through Online Social Networks (The CouchSurfing case). Retrieved from http://eprints.leedsbeckett.ac.uk/2159/1/The%20Transformation%20of%20Identity%20and%20Privacy_The%20CouchSurfing%20Case.pdfMyles, G., Friday, A., & Davies, N. (2003). Preserving privacy in environments with location-based applications. IEEE Pervasive Computing, 2(1), 56–64.Nario-Redmond, M. R., Biernat, M., Eidelman, S., & Palenske, D. J. (2004). The Social and Personal Identities Scale: A Measure of the Differential Importance Ascribed to Social and Personal Self-Categorizations. Self and Identity, 3(2), 143–175. https://doi.org/10.1080/13576500342000103Nicola Zannone, Fabio Massacci, & and John Mylopoulos. (2006). Security Requirements Engineering Methodologies.ppt. Department of Information and Communication Technology University of Trento.Schwartz, R., & Halegoua, G. R. (2015). The spatial self: Location-based identity performance on social media. New Media & Society, 17(10), 1643–1660.Shokri, R., Theodorakopoulos, G., Boudec, J. Y. L., & Hubaux, J. P. (2011). Quantifying Location Privacy. In 2011 IEEE Symposium on Security and Privacy (pp. 247–262). https://doi.org/10.1109/SP.2011.18Snekkenes, E. (2001). Concepts for Personal Location Privacy Policies. In Proceedings of the 3rd ACM Conference on Electronic Commerce (pp. 48–57). New York, NY, USA: ACM. https://doi.org/10.1145/501158.501164Tang, K. P., Lin, J., Hong, J. I., Siewiorek, D. P., & Sadeh, N. (2010). Rethinking location sharing: exploring the implications of social-driven vs. purpose-driven location sharing. In Proceedings of the 12th ACM international conference on Ubiquitous computing (pp. 85–94). ACM.
UR  - https://dergipark.org.tr/tr/pub/dorduncukuvvet/issue//453948
L1  - https://dergipark.org.tr/tr/download/article-file/585659
ER  -