A tie strength based model to socially-enhance applications and its enabling implementation: mySocialSphere

The growing omnipresence of the Social Web and the increasingly number of services in the Cloud have created a favourable atmosphere to develop socially-enhanced services, that is, services which are aware of the social dimension of the users to improve their experience in the Cloud. This paper introduces a model and an architecture for socially-enhanced services by mining interaction information across different Social Web sites. Most of the existing social applications require knowing who are the users socially-linked to each individual by exploring topological connections in social networks or, even, calculating the interactions network that underlies social sites. However these approaches are, on the one hand, hardly scalable when the number of users grows in the interaction network and, on the other hand, tightly coupled to the social application and so hardly reusable. The key contribution of this paper is a user-centred model whose goal is not to infer the aforementioned interaction network, but to build users’ social spheres. That is, assessing the strength and the context of the user’s ties by using signs of interaction available from social sites APIs (private messages, retweets, mentions, …) with user’s permission. To this aim, contrary to previous approaches, we take into account (i) different interaction types and contexts, (ii) the time in which interactions occur, (iii) the people involved in them and (iv) the interactions rhythms with the rest of user’s contacts. A prototype of this service has been implemented in order to, not only validate the tie strength model, but also to deploy some pilot experiences.     

Detecting topic-based communities in social networks: A study in a real software development network

In social network analysis, a key issue is the detection of meaningful communities. This problem consists of finding groups of people who are both connected and semantically aligned. In the software development context, identifying communities considering both collaborations between developers and their skills can help to address critical elements or issues in a project. However, a large amount of data and the lack of data structure make it difficult to analyze these networks’ content. In this paper, we propose a framework for detecting overlapping semantic communities and their influential members. We also propose an ontology to extract topics of interest through tag enrichment in a Q&A forum. An evaluation was conducted in a large network of software developers built with Stack Overflow’s data, showing that the proposed framework and ontology can find real communities of developers. The evaluation indicates that their members are semantic aligned and still active in the detected topics of interest, and the quantitative analysis showed that the detected communities have high internal connectivity.     

How media choice affects learner interactions in distance learning classes

In this research we explore aspects of learning, social interaction and community across online learning, also known as distance learning, in higher education. We measure the impact of online social networking (OSN) software versus traditional learning management system (LMS) software. Guided by a theoretical model for how individuals learn and interact within online communities, we measure student perceptions of learning, social interaction and course community before and after our interventions. Survey instruments measure perceived learning, social interaction and community, which we further explore using social network analysis (SNA). Survey results identified that students experienced higher levels of perceived social interaction and course community and, overall, had higher levels of satisfaction with OSN software than those using LMS software. Along this line, SNA results corroborated that OSN software yielded a higher number of interactions, providing a more engaging learning experience.     

oDect: an RFID‐based object detection API to support applications development on mobile devices

The RFID technology is becoming ever more popular in the development of ubiquitous computing applications. A full exploitation of the RFID potential requires the study and implementation of human–computer interaction (HCI) modalities to be able to support wide usability by the target audience. This implies the need for programming methodologies specifically dedicated to support the easy and efficient prototyping of applications to have feedback from early tests with users. On the basis of our field‐working experience, we have designed oDect, a high‐level language and platform‐independent application programming interface (API), ad hoc designed to meet the needs of typical applications for mobile devices (smart phones and PDAs). oDect aims at allowing application developers to create their prototypes focusing on the needs of the final users, without having to care about the low‐level software that interacts with the RFID hardware. Further, in an end‐user developing (EUD) approach, oDect provides specific support for the application end‐user herself to cope with typical problems of RFID applications in detecting objects. We describe in detail the features of the API and discuss the findings of a test with four programmers, where we analyse and evaluate the use of the API in four sample applications. We also present results of an end‐user test, which investigated strengths and weaknesses of the territorial agenda (TA) concept. The TA is an RFID‐based citizen guide that aids—through time‐ and location‐based reminders—users in their daily activities in a city. The TA directly exploits EUD features of oDect, in particular concerning the possibility of linking detected objects with custom actions. Copyright © 2008 John Wiley & Sons, Ltd.     

Acquiring and sharing tacit knowledge in software development teams: An empirical study

ContextSharing expert knowledge is a key process in developing software products. Since expert knowledge is mostly tacit, the acquisition and sharing of tacit knowledge along with the development of a transactive memory system (TMS) are significant factors in effective software teams.ObjectiveWe seek to enhance our understanding human factors in the software development process and provide support for the agile approach, particularly in its advocacy of social interaction, by answering two questions: How do software development teams acquire and share tacit knowledge? What roles do tacit knowledge and transactive memory play in successful team performance?MethodA theoretical model describing the process for acquiring and sharing tacit knowledge and development of a TMS through social interaction is presented and a second predictive model addresses the two research questions above. The elements of the predictive model and other demographic variables were incorporated into a larger online survey for software development teams, completed by 46 software SMEs, consisting of 181 individual team members.ResultsOur results show that team tacit knowledge is acquired and shared directly through good quality social interactions and through the development of a TMS with quality of social interaction playing a greater role than transactive memory. Both TMS and team tacit knowledge predict effectiveness but not efficiency in software teams.ConclusionIt is concluded that TMS and team tacit knowledge can differentiate between low- and high-performing teams in terms of effectiveness, where more effective teams have a competitive advantage in developing new products and bringing them to market. As face-to-face social interaction is key, collocated, functionally rich, domain expert teams are advocated rather than distributed teams, though arguably the team manager may be in a separate geographic location provided that there is frequent communication and effective use of issue tracking tools as in agile teams.     

Impediments to requirements engineering during global software development

Developing software when team members are located in widely distributed geographic locations poses many challenges for developers, particularly during the requirements engineering (RE) phase. Using a case study of a large software development project with users located in the UK and software developers from an international software house based in New Zealand, the paper argues that while global RE using electronic communication media may be desirable in achieving economy of resources, social and cultural aspects of RE need to be considered so that lasting relationships with clients may be formed, and RE activities achieved. The main impediments to the process of RE during global software development are communication resulting from differences in shared meanings and context associated with the following: distribution of the clients and the development team; distribution of the development team; cultural differences between the clients and the development team; and cultural differences among the development team.     

Expertech: Issues in the design and development of an intelligent help desk system

As more companies turn to expert systems to support traditional help desk activities, the need to understand the particular issues inherent in the development of such systems becomes increasingly important. This article describes the design and development of Expertech, a prototype expert system intended to assist a help desk operator in the resolution of common problems encountered by the users of a telecommunications network. Expertech, a rule-based system, is a partial implementation of a model of human expertise in network diagnosis. We argue that developers of intelligent help desk support systems (IHDSS) must consider several challenges not typically encountered in other environments. An IHDSS, for example, must consider the heterogeneous nature of the end users, and tailor its interface to encompass the varying technical knowledge of those users. Furthermore, an IHDSS must deal with the three-party nature of computer-based support, where the system does not interact directly with the end user. Instead, communication between the IHDSS and the end user takes place indirectly, through a human intermediary, the help desk operator. In the context of these considerations, we describe the approach we took in developing Expertech.     

The effect of governance on global software development: An empirical research in transactive memory systems

ContextThe way global software development (GSD) activities are managed impacts knowledge transactions between team members. The first is captured in governance decisions, and the latter in a transactive memory system (TMS), a shared cognitive system for encoding, storing and retrieving knowledge between members of a group.ObjectiveWe seek to identify how different governance decisions (such as business strategy, team configuration, task allocation) affect the structure of transactive memory systems as well as the processes developed within those systems.MethodWe use both a quantitative and a qualitative approach. We collect quantitative data through an online survey to identify transactive memory systems. We analyze transactive memory structures using social network analysis techniques and we build a latent variable model to measure transactive memory processes. We further support and triangulate our results by means of interviews, which also help us examine the GSD governance modes of the participating projects. We analyze governance modes, as set of decisions based on three aspects; business strategy, team structure and composition, and task allocation.ResultsOur results suggest that different governance decisions have a different impact on transactive memory systems. Offshore insourcing as a business strategy, for instance, creates tightly-connected clusters, which in turn leads to better developed transactive memory processes. We also find that within the composition and structure of GSD teams, there are boundary spanners (formal or informal) who have a better overview of the network’s activities and become central members within their network. An interesting mapping between task allocation and the composition of the network core suggests that the way tasks are allocated among distributed teams is an indicator of where expertise resides.ConclusionWe present an analytical method to examine GSD governance decisions and their effect on transactive memory systems. Our method can be used from both practitioners and researchers as a “cause and effect” tool for improving collaboration of global software teams.     

Exploring the interaction effects of social capital

Most social capital studies either treat the three dimensions of social capital as parallel or hypothesize that causal relationships exist among them. We attempt to further explore the interaction effects between paired dimensions of social capital. In the context of information system development (ISD) projects, we propose direct and interaction effects of different dimensions of social capital on process and product performance. A survey of system developers indicates that all three proposed interaction effects on process performance are significant but with different patterns. Only one (structural and relational) interaction effect is found to have an effect on product performance. Academic and practical implications are discussed.     

Component-based tailorability: Enabling highly flexible software applications

Component technologies are perceived as an important means to keep software architectures flexible. Flexibility offered by component technologies typically addresses software developers at design time. However, the design of software which should support social systems, such as work groups or communities, also demands ‘use-time’, or technically spoken, ‘run-time’ flexibility. In this paper, we summarize a decade of research efforts on component-based approaches to flexibilize groupware applications at run-time. We address the user as a ‘casual programmer’ who develops and individualizes software for his work context. To deal with the challenges of run-time flexibility, we developed a design approach which covers three levels: software architecture, user interface, and collaboration support. With regard to the software architecture, a component model, called FlexiBeans, has been developed. The FreEvolve platform serves as an environment in which component-based applications can be tailored at run-time. Additionally, we have developed three different types of graphical user interfaces, enabling users to tailor their applications by recomposing components. To enable collaborative tailoring activities, we have integrated functions that allow sharing component structures among users. We also present different types of support techniques which are integrated into the user interface in order to enable users’ individual and collaborative tailoring activities. We conclude by elaborating on the notion of ‘software infrastructure’ which offers a holistic approach to support design activities of professional and non-professional programmers.     

The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle

The current research guidelines of the European community suggest the importance of the development of systems that help users manage their health themselves. The increasing amount of communication technologies and devices from which users can access information, and the possibility to interact through social media channels, play an important role in this scenario. Based on these considerations, in this paper we present an innovative persuasive web application, designed both to exploit social networking sites and to cooperate with a mobile application that already operates in the e-health and motivational domains. In particular, the innovative aspects introduced by the web application are the possibility to access also from a web browser some features previously available only through a mobile application and a more direct and user-friendly integration of social network sites. Indeed, thanks to an extensive interaction with the Facebook social network, users are allowed to share their experience with the application. This generates a strong social influence effect, which inspires and motivates other users to improve their exercising activity. Experimental results put in evidence that our web application, also thanks to social interactions, is favoring an enhancement of users’ motivation to a more active lifestyle. This is mainly due to its capability to have an impact on the other users thanks to the posts generated on the Facebook social network.     

Semantic tagging and linking of software engineering social content

Social online communities and platforms play a significant role in the activities of software developers either as an integral part of the main activities or through complimentary knowledge and information sharing. As such techniques become more prevalent resulting in a wealth of shared information, the need to effectively organize and sift through the information becomes more important. Top-down approaches such as formal hierarchical directories have shown to lack scalability to be applicable to these circumstanes. Light-weight bottom-up techniques such as community tagging have shown promise for better organizing the available content. However, in more focused communities of practice, such as software engineering and development, community tagging can face some challenges such as tag explosion, locality of tags and interpretation differences, to name a few. To address these challenges, we propose a semantic tagging approach that benefits from the information available in Wikipedia to semantically ground the tagging process and provide a methodical approach for tagging social software engineering content. We have shown that our approach is able to provide high quality tags for social software engineering content that can be used not only for organizing such content but also for making meaningful and relevant content recommendation to the users both within a local community and also across multiple social online communities. We have empirically validated our approach through four main research questions. The results of our observations show that the proposed approach is quite effective in organizing social software engineering content and making relevant, helpful and novel content recommendations to software developers and users of social software engineering communities.     

Studying the impact of social interactions on software quality

Correcting software defects accounts for a significant amount of resources in a software project. To make best use of testing efforts, researchers have studied statistical models to predict in which parts of a software system future defects are likely to occur. By studying the mathematical relations between predictor variables used in these models, researchers can form an increased understanding of the important connections between development activities and software quality. Predictor variables used in past top-performing models are largely based on source code-oriented metrics, such as lines of code or number of changes. However, source code is the end product of numerous interlaced and collaborative activities carried out by developers. Traces of such activities can be found in the various repositories used to manage development efforts. In this paper, we develop statistical models to study the impact of social interactions in a software project on software quality. These models use predictor variables based on social information mined from the issue tracking and version control repositories of two large open-source software projects. The results of our case studies demonstrate the impact of metrics from four different dimensions of social interaction on post-release defects. Our findings show that statistical models based on social information have a similar degree of explanatory power as traditional models. Furthermore, our results demonstrate that social information does not substitute, but rather augments traditional source code-based metrics used in defect prediction models.     

CALM and Cadena: metamodeling for component-based product-line development

Large-scale software development efforts are increasingly based on product lines, a development process in which developers build the software for similar product families from reusable infrastructure and common application components. Existing software modeling approaches fail to support many product-line development activities. The Cadena platform, together with its core modeling concept, the Cadena Architecture Language with Metamodeling, addresses this deficiency by providing a highly adaptive type-centric modeling framework with robust, flexible, and extensible tool support.     

Free/libre open source software implementation in schools: Evidence from the field and implications for the future

This empirical paper shows how free/libre open source software (FLOSS) contributes to mutual and collaborative learning in an educational environment. Unlike proprietary software, FLOSS allows extensive customisation of software to support the needs of local users better. This also allows users to participate more proactively in the development and implementation process of a FLOSS-based system. In this paper, we observes how implementing FLOSS in an Italian high school challenges the conventional relationship between end users themselves (e.g. teachers and students) and that between users and developers. The findings will shed some light on the social aspects of FLOSS-based computerization – including the role of FLOSS in social and organizational change in educational environments and the ways that the social organization of FLOSS are influenced by social forces and social practices.     

A guide to agile development of interactive software with a “User Objectives”-driven methodology

This paper presents the InterMod methodology. By combining the widely accepted Agile Methods, Model-Driven Developments and User-Centred Design it allows us to develop high-quality interactive applications. As a main characteristic, it plans and organises the software project as a series of iterations that are guided by the User Objectives in an agile and user-centred manner. At each iteration, the software development work can be distributed to different teams according to some developmental and integration activities. Each activity is driven by models that are validated by a multidisciplinary team composed of developers and users. The requirements are incrementally collected and formalised by means of models based on user-centred design. Besides, the Semantically Enriched Human–Computer Interaction model is proposed to speed up project validation. This model enriches a human–computer interaction model with some visual characteristics and the application semantic. Thus, the enriched model provides enough information to generate prototypes so users and developers can easily validate this model. Diagram project is a real case study that is used to illustrate the application of the InterMod methodology through the whole paper.     

Who to follow recommendation in large-scale online development communities

ContextOpen source development allows a large number of people to reuse and contribute source code to the community. Social networking features open opportunities for information discovery, social collaborations, and improved recommendations of potential collaborators.ObjectiveOnline community and development platforms rely on social network features to increase awareness and attention among community members for improved collaborations. The objective of this work is to introduce an approach for recommending relevant users to follow. Follower networks provide means for informal information propagation. The efficiency and effectiveness of such information flows is impacted by the network structure. Here, we aim to understand the resilience of networks against random or strategic node removal.MethodSocial network features of online software development communities present a new opportunity to enhance online collaboration. Our approach is based on the automatic analysis of user behavior and network structure. The proposed ‘who to follow’ recommendation algorithm can be parametrized for specific contexts. Link-analysis techniques such as PageRank/HITS provide the basis for a novel ‘who to follow’ recommendation model.ResultsWe tested the approach using a GitHub-based dataset. Currently, users follow popular community members to get updates regarding their activities instead of maintaining personal relations. Thus, social network features require further improvements to increase reciprocity. The application of our ‘who to follow’ recommendation model using the GitHub dataset shows excellent results with respect to context-sensitive following recommendations. The sensitivity of GitHub’s follower network to random node removal is comparable with other social networks but more sensitive to follower authority based node removal.ConclusionLink-based algorithm can be used for context-sensitive ‘who to follow’ recommendations. GitHub is highly sensitive to authority based node removal. Information flow established through follower relations will be strongly impacted if many authorities are removed from the network. This underpins the importance of ‘central’ users and the validity of focusing the ‘who to follow’ recommendations on those users.     

Virtual communities as a resource for the development of OSS projects: the case of Linux ports to embedded processors

Open source software (OSS) projects represent a new paradigm of software creation and development based on hundreds or even thousands of developers and users organised in the form of a virtual community. The success of an OSS project is closely linked to the successful organisation and development of the virtual community of support. The main objective of this article is to analyse the activity of virtual communities. Social network analysis is employed to analyse Linux ports to embedded processors as a case study to achieve this aim. The obtained results confirm the necessity of structuring the virtual community with a selection of active developers and core members to promote community activity and attract peripheral users, expanding the impact of the underlying software. The obtained result will be useful for the software industry migrating to the open source software paradigm.