Cover image for Data structure and software engineering challenges and improvements
Title:
Data structure and software engineering challenges and improvements
Author:
Antonakos, James L.
ISBN:
9781466562608
Publication Information:
Oakville, Ont. : Apple Academic Press, 2011.
Physical Description:
350 p. : ill.
Contents:
1. An architecture to support learning, awareness, and transparency in social software engineering / Wolfgang Reinhardt and Sascha Rinne -- 2. Comprehending software architecture using a unified single-view visualization / Thomas Panas ... [et al.] -- 3. Determination of neural fiber connections based on data structure algorithm / Dilek Gk̲sel Duru and Mehmed ¿zkan -- 4. A preliminary analysis of software engineering metrics-based criteria for the evaluation of learning objects reusability / J. Sanz Rodrg̕uez, J. M. Dodero and S. Sanchez-Alonso -- 5. Extending conceptual schemas with business process information / Marco Brambilla, Jordi Cabot and Sara Comai -- 6. Software test automation in practice : empirical observations / Jussi Kasurinen, Ossi Taipale and Kari Smolander -- 7. A strategy for automatic quality signing and verification processes for hardware and software testing / Mohammed I. Younis and Kamal Z. Zamli -- 8. A tester-assisted methodology for test redundancy detection / Negar Koochakzadeh and Vahid Garousi -- 9. Automatic generation of web applications from visual high-level functional web components / Quan Liang Chen and Takao Shimomura -- 10. Challenges and improvements in distributed software development : a systematic review / Miguel Jimňez, Mario Piattini and Aurora Vizcan̕o -- 11. Vertical mining of frequent patterns from uncertain data / Laila A. Abd-Elmegid ... [et al.] -- 12. An open-source representation for 2-DE-centric proteomics and support infrastructure for data storage and analysis / Romesh Stanislaus ... [et al.] -- 13. Pegasys : software for executing and integrating analyses of biological sequences / Sohrab P. Shah ... [et al.] -- 14. An application of a game development framework in higher education / Alf Inge Wang and Bian Wu.
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