CHIME: A Metadata-Based Distributed Software Development Environment

Dossick, Stephen E.; Kaiser, Gail E.

doi:10.21236/ada437472

Cited by 3 publications

(3 citation statements)

References 9 publications

(12 reference statements)

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“…In the late 1990s, our lab developed CHIME, an immersive virtual reality for collaboration and software development [7]. CHIME was modeled on popular games of the time, such as "Quake," allowing users represented as avatars to walk around in a 3D world, interacting with project artifacts such as code, bug reports, and email archives.…”

Section: Related Workmentioning

confidence: 99%

HALO (highly addictive, socially optimized) software engineering

Sheth

Bell

Kaiser

2011

Proceedings of the 1st International Workshop on Games and Software Engineering

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In recent years, computer games have become increasingly social and collaborative in nature. Massively multiplayer online games, in which a large number of players collaborate with each other to achieve common goals in the game, have become extremely pervasive. By working together towards a common goal, players become more engrossed in the game. In everyday work environments, this sort of engagement would be beneficial, and is often sought out. We propose an approach to software engineering called HALO that builds upon the properties found in popular games, by turning work into a game environment. Our proposed approach can be viewed as a model for a family of prospective games that would support the software development process. Utilizing operant conditioning and flow theory, we create an immersive software development environment conducive to increased productivity. We describe the mechanics of HALO and how it could fit into typical software engineering processes.

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Section: Related Workmentioning

confidence: 99%

HALO (highly addictive, socially optimized) software engineering

Sheth

Bell

Kaiser

2011

Proceedings of the 1st International Workshop on Games and Software Engineering

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“…An earlier approach to AI 2 TV is described in [25]. In that version, a collaborative virtual environment (CVE) supported a variety of team interactions [26], with the optional lecture video display embedded in the wall of a CVE "room". Video synchronization data was piggybacked on top of the UDP peer-to-peer communication used primarily for CVE updates, which did not work very well due to the heavy-weight CVE burden on local resources.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Synchronization of Semantically Compressed Instructional Videos for Collaborative Distance Learning

Phung

Valetto²,

Kaiser

et al. 2007

International Journal of Distance Education Technologies

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The increasing popularity of online courses has highlighted the need for collaborative learning tools for student groups. In addition, the introduction of lecture videos into the online curriculum has drawn attention to the disparity in the network resources available to students. We present an e-Learning architecture and adaptation model called AI 2 TV (Adaptive Interactive Internet Team Video), which allows groups of students to collaboratively view a video in synchrony. AI 2 TV upholds the invariant that each student will view semantically equivalent content at all times. A semantic compression model is developed to provide instructional videos at different level-of-details to accommodate dynamic network conditions and users' requirements; video player actions, like play, pause and stop, can be initiated by any group member. These features allow students to review a lecture video in tandem, facilitating the learning process. Experimental trials show that AI 2 TV successfully synchronizes instructional videos for distributed students while, at the same time, optimizing the video quality, even under conditions of fluctuating bandwidth, by adaptively adjusting the quality level for each student while still maintaining the invariant.

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“…Dossick e Kaiser (1999) afirmam a necessidade, em ambientes distribuídos, do desenvolvimento de metadados. Para tanto, em sua pesquisa, utilizam aplicações de CSCW para definir informações em um ambiente de desenvolvimento distribuído de software.…”

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M3DS: um modelo de dinâmica de desenvolvimento distribuído de software.

L’Erário¹

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Este trabalho apresenta um modelo de dinâmica de desenvolvimento distribuído de software, cujo objetivo é representar a realidade e os aspectos de ambientes de DDS (Desenvolvimento distribuído de software), a fim de torná-los observáveis e descritíveis qualitativa e quantitativamente. Um modelo preliminar foi elaborado a partir da revisão bibliográfica e de um caso de experimentação desenvolvido por L'Erario et al (2004). Para a construção e validação deste modelo, a metodologia de estudo de múltiplos casos foi aplicada em diversas organizações que desenvolvem software de maneira distribuída. Ao modelo preliminar foram adicionados estados e transições significantes para a dinâmica do desenvolvimento distribuído de software, originando então o

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CHIME: A Metadata-Based Distributed Software Development Environment

Cited by 3 publications

References 9 publications

HALO (highly addictive, socially optimized) software engineering

HALO (highly addictive, socially optimized) software engineering

Adaptive Synchronization of Semantically Compressed Instructional Videos for Collaborative Distance Learning

M3DS: um modelo de dinâmica de desenvolvimento distribuído de software.

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