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You searched for +publisher:"Georgia Tech" +contributor:("Rugaber, Spencer"). Showing records 1 – 13 of 13 total matches.

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Georgia Tech

1. Wang, Qianqian. Improving in-house testing using field execution data.

Degree: PhD, Computer Science, 2019, Georgia Tech

 Software testing is today the most widely used approach for assessing and improving software quality. Despite its popularity, however, software testing has a number of… (more)

Subjects/Keywords: Software testing; Field data; Test generation

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APA (6th Edition):

Wang, Q. (2019). Improving in-house testing using field execution data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62267

Chicago Manual of Style (16th Edition):

Wang, Qianqian. “Improving in-house testing using field execution data.” 2019. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/62267.

MLA Handbook (7th Edition):

Wang, Qianqian. “Improving in-house testing using field execution data.” 2019. Web. 04 Dec 2020.

Vancouver:

Wang Q. Improving in-house testing using field execution data. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/62267.

Council of Science Editors:

Wang Q. Improving in-house testing using field execution data. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62267

2. Dunlap, Ralph S. Effective reuse of coupling technologies for Earth System Models.

Degree: PhD, Computer Science, 2013, Georgia Tech

 Designing and implementing coupled Earth System Models (ESMs) is a challenge for climate scientists and software engineers alike. Coupled models incorporate two or more independent… (more)

Subjects/Keywords: Coupled models; Coupling; Earth system model; Software reuse; Component-based software engineering; Domain-specific language; Feature modeling; Earth sciences; Computer simulation; Coupled problems (Complex systems); System analysis; Computer software Reusablility

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APA (6th Edition):

Dunlap, R. S. (2013). Effective reuse of coupling technologies for Earth System Models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/48943

Chicago Manual of Style (16th Edition):

Dunlap, Ralph S. “Effective reuse of coupling technologies for Earth System Models.” 2013. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/48943.

MLA Handbook (7th Edition):

Dunlap, Ralph S. “Effective reuse of coupling technologies for Earth System Models.” 2013. Web. 04 Dec 2020.

Vancouver:

Dunlap RS. Effective reuse of coupling technologies for Earth System Models. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/48943.

Council of Science Editors:

Dunlap RS. Effective reuse of coupling technologies for Earth System Models. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/48943

3. Parnin, Christopher Joseph. Supporting interrupted programming tasks with memory-based aids.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Despite its vast capacity and associative powers, the human brain does not deal well with interruptions. Particularly in situations where information density is high, such… (more)

Subjects/Keywords: Interruption; Memory; Programmers

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APA (6th Edition):

Parnin, C. J. (2014). Supporting interrupted programming tasks with memory-based aids. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53056

Chicago Manual of Style (16th Edition):

Parnin, Christopher Joseph. “Supporting interrupted programming tasks with memory-based aids.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/53056.

MLA Handbook (7th Edition):

Parnin, Christopher Joseph. “Supporting interrupted programming tasks with memory-based aids.” 2014. Web. 04 Dec 2020.

Vancouver:

Parnin CJ. Supporting interrupted programming tasks with memory-based aids. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/53056.

Council of Science Editors:

Parnin CJ. Supporting interrupted programming tasks with memory-based aids. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53056

4. Wiltgen, Bryan Joseph. Incremental design revision in biologically inspired design.

Degree: PhD, Interactive Computing, 2018, Georgia Tech

 Design is the process by which solutions get developed to solve social challenges, and its products can be seen across our world from toothbrushes to… (more)

Subjects/Keywords: Design; Conceptual design; Biologically inspired design; Artificial intelligence; Analogical mapping; Simulation; Evaluation; Incremental design revision

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APA (6th Edition):

Wiltgen, B. J. (2018). Incremental design revision in biologically inspired design. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60805

Chicago Manual of Style (16th Edition):

Wiltgen, Bryan Joseph. “Incremental design revision in biologically inspired design.” 2018. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/60805.

MLA Handbook (7th Edition):

Wiltgen, Bryan Joseph. “Incremental design revision in biologically inspired design.” 2018. Web. 04 Dec 2020.

Vancouver:

Wiltgen BJ. Incremental design revision in biologically inspired design. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/60805.

Council of Science Editors:

Wiltgen BJ. Incremental design revision in biologically inspired design. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60805

5. Simpkins, Christopher Lee. Integrating reinforcement learning into a programming language.

Degree: PhD, Computer Science, 2017, Georgia Tech

 Reinforcement learning is a promising solution to the intelligent agent problem, namely, given the state of the world, which action should an agent take to… (more)

Subjects/Keywords: Machine learning; Reinforcement learning; Modular reinforcement learning; Programming languages; Domain specific languages; Software engineering; Artificial intelligence; Intelligent agents

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APA (6th Edition):

Simpkins, C. L. (2017). Integrating reinforcement learning into a programming language. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58683

Chicago Manual of Style (16th Edition):

Simpkins, Christopher Lee. “Integrating reinforcement learning into a programming language.” 2017. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/58683.

MLA Handbook (7th Edition):

Simpkins, Christopher Lee. “Integrating reinforcement learning into a programming language.” 2017. Web. 04 Dec 2020.

Vancouver:

Simpkins CL. Integrating reinforcement learning into a programming language. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/58683.

Council of Science Editors:

Simpkins CL. Integrating reinforcement learning into a programming language. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58683

6. Clause, James Alexander. Enabling and supporting the debugging of software failures.

Degree: PhD, Computing, 2011, Georgia Tech

 This dissertation evaluates the following thesis statement: Program analysis techniques can enable and support the debugging of failures in widely-used applications by (1) capturing, replaying,… (more)

Subjects/Keywords: Debugging; Software engineering; Minimization; Anonymization; Software maintenance; Debugging in computer science; Data editing; Quality control

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APA (6th Edition):

Clause, J. A. (2011). Enabling and supporting the debugging of software failures. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39514

Chicago Manual of Style (16th Edition):

Clause, James Alexander. “Enabling and supporting the debugging of software failures.” 2011. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/39514.

MLA Handbook (7th Edition):

Clause, James Alexander. “Enabling and supporting the debugging of software failures.” 2011. Web. 04 Dec 2020.

Vancouver:

Clause JA. Enabling and supporting the debugging of software failures. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/39514.

Council of Science Editors:

Clause JA. Enabling and supporting the debugging of software failures. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39514

7. Jones, James Arthur. Semi-automatic fault localization.

Degree: PhD, Computing, 2008, Georgia Tech

 One of the most expensive and time-consuming components of the debugging process is locating the errors or faults. To locate faults, developers must identify statements… (more)

Subjects/Keywords: Software engineering; Debugging; Visualization; Testing; Fault-tolerant computing; Debugging in computer science

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APA (6th Edition):

Jones, J. A. (2008). Semi-automatic fault localization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/22609

Chicago Manual of Style (16th Edition):

Jones, James Arthur. “Semi-automatic fault localization.” 2008. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/22609.

MLA Handbook (7th Edition):

Jones, James Arthur. “Semi-automatic fault localization.” 2008. Web. 04 Dec 2020.

Vancouver:

Jones JA. Semi-automatic fault localization. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/22609.

Council of Science Editors:

Jones JA. Semi-automatic fault localization. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/22609


Georgia Tech

8. Csallner, Christoph. Combining over- and under-approximating program analyses for automatic software testing.

Degree: PhD, Computing, 2008, Georgia Tech

 This dissertation attacks the well-known problem of path-imprecision in static program analysis. Our starting point is an existing static program analysis that over-approximates the execution… (more)

Subjects/Keywords: Program analysis pipeline; Software verification; Resetting program state; Extended static checking; False warnings; Computer software Testing; Debugging in computer science; Computer programs Testing

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APA (6th Edition):

Csallner, C. (2008). Combining over- and under-approximating program analyses for automatic software testing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24764

Chicago Manual of Style (16th Edition):

Csallner, Christoph. “Combining over- and under-approximating program analyses for automatic software testing.” 2008. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/24764.

MLA Handbook (7th Edition):

Csallner, Christoph. “Combining over- and under-approximating program analyses for automatic software testing.” 2008. Web. 04 Dec 2020.

Vancouver:

Csallner C. Combining over- and under-approximating program analyses for automatic software testing. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/24764.

Council of Science Editors:

Csallner C. Combining over- and under-approximating program analyses for automatic software testing. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24764


Georgia Tech

9. Bowring, James Frederick. Modeling and Predicting Software Behaviors.

Degree: PhD, Computing, 2006, Georgia Tech

 Software systems will eventually contribute to their own maintenance using implementations of self-awareness. Understanding how to specify, model, and implement software with a sense of… (more)

Subjects/Keywords: Model-driven architecture; Machine learning; Computational learning theory; Software failures

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APA (6th Edition):

Bowring, J. F. (2006). Modeling and Predicting Software Behaviors. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19754

Chicago Manual of Style (16th Edition):

Bowring, James Frederick. “Modeling and Predicting Software Behaviors.” 2006. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/19754.

MLA Handbook (7th Edition):

Bowring, James Frederick. “Modeling and Predicting Software Behaviors.” 2006. Web. 04 Dec 2020.

Vancouver:

Bowring JF. Modeling and Predicting Software Behaviors. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/19754.

Council of Science Editors:

Bowring JF. Modeling and Predicting Software Behaviors. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/19754


Georgia Tech

10. Spoon, Steven Alexander. Demand-Driven Type Inference with Subgoal Pruning.

Degree: PhD, Computing, 2005, Georgia Tech

 Highly dynamic languages like Smalltalk do not have much static type information immediately available before the program runs. Static types can still be inferred by… (more)

Subjects/Keywords: Program understanding; Types; Smalltalk; Programming tools; Program analysis; Data flow; Type inference; Dynamic programming; Smalltalk (Computer program language); Algorithms; Computer interfaces

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APA (6th Edition):

Spoon, S. A. (2005). Demand-Driven Type Inference with Subgoal Pruning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7486

Chicago Manual of Style (16th Edition):

Spoon, Steven Alexander. “Demand-Driven Type Inference with Subgoal Pruning.” 2005. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/7486.

MLA Handbook (7th Edition):

Spoon, Steven Alexander. “Demand-Driven Type Inference with Subgoal Pruning.” 2005. Web. 04 Dec 2020.

Vancouver:

Spoon SA. Demand-Driven Type Inference with Subgoal Pruning. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/7486.

Council of Science Editors:

Spoon SA. Demand-Driven Type Inference with Subgoal Pruning. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7486


Georgia Tech

11. Hsi, Idris. Analyzing the Conceptual Integrity of Computing Applications Through Ontological Excavation and Analysis.

Degree: PhD, Computing, 2005, Georgia Tech

 In the world of commercial computing, consumers are being inundated with baroque, bloated, and difficult-to-use computing applications, tools that use computational methods and technologies to… (more)

Subjects/Keywords: HCI; Software engineering; Usability; Conceptual integrity; Ontological construction; Morphological cartography; Ontology; Ontological excavation; Usefulness; Use case silhouette; Ontological analysis; Conceptual coherence; Software evolution; Computing applications

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APA (6th Edition):

Hsi, I. (2005). Analyzing the Conceptual Integrity of Computing Applications Through Ontological Excavation and Analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7211

Chicago Manual of Style (16th Edition):

Hsi, Idris. “Analyzing the Conceptual Integrity of Computing Applications Through Ontological Excavation and Analysis.” 2005. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/7211.

MLA Handbook (7th Edition):

Hsi, Idris. “Analyzing the Conceptual Integrity of Computing Applications Through Ontological Excavation and Analysis.” 2005. Web. 04 Dec 2020.

Vancouver:

Hsi I. Analyzing the Conceptual Integrity of Computing Applications Through Ontological Excavation and Analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/7211.

Council of Science Editors:

Hsi I. Analyzing the Conceptual Integrity of Computing Applications Through Ontological Excavation and Analysis. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7211


Georgia Tech

12. Hobbs, Reginald L. (Reginald Lionel). A Scenario-directed Computational Framework To Aid Decision-making And Systems Development.

Degree: PhD, Computing, 2005, Georgia Tech

 Scenarios are narratives that illustrate future possibilities or existing systems, and help policy makers and system designers choose among alternative courses of action. Scenario-based decision-making… (more)

Subjects/Keywords: XML; Narrative; Scenario

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APA (6th Edition):

Hobbs, R. L. (. L. (2005). A Scenario-directed Computational Framework To Aid Decision-making And Systems Development. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7251

Chicago Manual of Style (16th Edition):

Hobbs, Reginald L (Reginald Lionel). “A Scenario-directed Computational Framework To Aid Decision-making And Systems Development.” 2005. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/7251.

MLA Handbook (7th Edition):

Hobbs, Reginald L (Reginald Lionel). “A Scenario-directed Computational Framework To Aid Decision-making And Systems Development.” 2005. Web. 04 Dec 2020.

Vancouver:

Hobbs RL(L. A Scenario-directed Computational Framework To Aid Decision-making And Systems Development. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/7251.

Council of Science Editors:

Hobbs RL(L. A Scenario-directed Computational Framework To Aid Decision-making And Systems Development. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7251


Georgia Tech

13. Halfond, William G. J. Program analysis to support quality assurance techniques for web applications.

Degree: PhD, Computing, 2010, Georgia Tech

 As web applications occupy an increasingly important role in the day-to-day lives of millions of people, testing and analysis techniques that ensure that these applications… (more)

Subjects/Keywords: Software engineering; Program analysis; Web applications; Web sites; HTTP (Computer network protocol); Quality assurance; Computer programs Testing

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APA (6th Edition):

Halfond, W. G. J. (2010). Program analysis to support quality assurance techniques for web applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33930

Chicago Manual of Style (16th Edition):

Halfond, William G J. “Program analysis to support quality assurance techniques for web applications.” 2010. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/33930.

MLA Handbook (7th Edition):

Halfond, William G J. “Program analysis to support quality assurance techniques for web applications.” 2010. Web. 04 Dec 2020.

Vancouver:

Halfond WGJ. Program analysis to support quality assurance techniques for web applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/33930.

Council of Science Editors:

Halfond WGJ. Program analysis to support quality assurance techniques for web applications. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33930

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