Index Catalog // ScholarsArchive@OSU

Open Source barriers to entry, revisited : a tools perspective

Creator:: Mendez, Christopher, Pedala, Hema Susmita, Steine-Hanson, Zoe, Hilderbrand, Claudia, Horvath, Amber, Hill, Charles, Simpson, Logan, Patil, Nupoor, Sarma, Anita, and Burnett, Margaret
Abstract:: Software (OSS) communities and that women disproportionately experience such barriers. However, this research has focused mainly on social/cultural factors, ignoring the environment itself — the tools and infrastructure. To shed some light onto how tools and infrastructure might somehow factor into OSS barriers to entry, we conducted a field study...
Resource Type:: Technical Report
Full Text:: Pedala, Zoe Steine-Hanson, Claudia Hilderbrand, Amber Horvath, Charles Hill Oregon State University

Continuous Integration (CI) Needs and Wishes for Developers of Proprietary Code

Creator:: Hilton, Michael, Nelson, Nicholas, Dig, Danny, Tunnell, Timothy, Marinov, Darko, and Oregon State University. Department of Computer Science
Abstract:: Continuous integration (CI) systems automate the compilation, building, and testing of software. Despite CI being one of the most widely used processes in software engineering, we do not know what motivates developers to use CI, and what barriers and unmet needs they face. Without such knowledge developers make easily avoidable...
Resource Type:: Technical Report
Full Text:: Proprietary Code Michael Hilton, Nicholas Nelson, Danny Dig School of EECS, Oregon State University {hiltonm

Analysis and Transformations in Support of Android Privacy

Creator:: Bogdanas, Denis, Nelson, Nicholas, and Dig, Danny
Abstract:: To protect user’s privacy and system’s integrity, mobile platforms use permission models to control accesses to protected resources such as GPS location, Contacts, etc. The previous major version of Android used a static permission model, which compromised the security and privacy of apps. Android 6 overhauled its permission model to...
Resource Type:: Technical Report
Full Text:: Denis Bogdanas, Nicholas Nelson, Danny Dig Oregon State University, USA Email: {bogdanad, nelsonni

Does Choice of Mutation Tool Matter?

Creator:: Gopinath, Rahul, Ahmed, Iftekhar, Amin Alipour, Mohammad, Jensen, Carlos, Groce, Alex, and Oregon State University. Department of Computer Science
Abstract:: Though mutation analysis is the primary means of evaluating the quality of test suites, though it suffers from inadequate standardization. Mutation analysis tools vary based on language, when mutants are generated (phase of compilation), and target audience. Mutation tools rarely implement the complete set of operators proposed in the literature,...
Resource Type:: Technical Report
Full Text:: ¶ Department of EECS, Oregon State University Email: ∗gopinatr@oregonstate.edu, †ahmed@eecs.orst.edu, ‡alipour

How Do Centralized and Distributed Version Control Systems Impact Software Changes?

Creator:: Brindescu, Caius, Codoban, Mihai, Shmarkatiuk, Sergii, and Dig, Danny
Abstract:: Distributed Version Control Systems (DVCS) have seen an increase in popularity relative to traditional Centralized Version Control Systems (CVCS). Yet we know little on whether developers are benefitting from the extra power of DVCS. Without such knowledge, researchers, developers, tool builders, and team managers are in the danger of making...
Resource Type:: Research Paper
Full Text:: Oregon State University {brindesc,codobanm,shmarkas,digd}@eecs.oregonstate.edu ABSTRACT Distributed

Cost Effective Conceptual Design for Semantic Annotation (Extended Version)

Creator:: Termehchy, Arash, Vakilian, Ali, Yodsawalai, Chodpathumwan, and Winslett, Marianne
Abstract:: It is well established that annotating occurrences of entities in a collection of unstructured or semi-structured text documents with their concepts (i.e. entity sets), called semantic annotation, improves the effectiveness of answers to users’ queries. However, an enterprise has to spend large amount of financial, computational, and human resources to...
Resource Type:: Technical Report
Full Text:: 3Department of Computer Science, University of Illinois, Urbana, IL, USA (Dated December 1, 2013) Abstract

Exploiting monotonicity via logistic regression in Bayesian network learning

Creator:: Restificar, Angelo C., Dietterich, Thomas Glen, and Oregon State University. Department of Computer Science
Abstract:: An important challenge in machine learning is to find ways of learning quickly from very small amounts of training data. The only way to learn from small data samples is to constrain the learning process by exploiting background knowledge. In this report, we present a theoretical analysis on the use...
Resource Type:: Technical Report
Full Text:: Computer Science Oregon State University Corvallis, OR 97331 Abstract An important challenge in machine

The whats and hows of programmers' foraging diets

Creator:: Oregon State University. Dept. of Computer Science, Piorkowski, David, Fleming, Scott D., Kwan, Irwin, Burnett, Margaret, 1949-, Scaffidi, Chris, Bellamy, Rachel, and Jordhal, Joshua
Abstract:: One of the least studied areas of Information Foraging Theory is diet: the information foragers choose to seek. For example, do foragers choose solely based on cost, or do they stubbornly pursue certain diets regardless of cost? Do their debugging strategies vary with their diets? To investigate "what" and "how"...
Resource Type:: Research Paper
Full Text:: , Margaret Burnett1, Chris Scaffidi1, Rachel Bellamy3, Joshua Jordhal1 1Oregon State University

Browsing for information on the web and in the file system

Creator:: Seifert, Ethan, Stumpf, Simone, Herlocker, Jonathan Lee, Wynn, Eleanor H., and Oregon State University. Department of Computer Science
Abstract:: Browsing is one of the methods used for finding and refinding information on the web or in the file local system and there are opportunities to avoid this, particularly if that information is revisited frequently. We present empirical results from a field study contrasting patterns of browsing to local and...
Resource Type:: Technical Report
Full Text:: , Oregon State University Corvallis, OR {seiferet, stumpf, herlock}@eecs.oregonstate.edu Eleanor

Proposed metrics for transfer learning

Creator:: Oregon State University. Dept. of Computer Science and Dietterich, Thomas Glen
Abstract:: Summary: Four proposed metrics: [1] average relative reduction in training time (sample size, number of training experiences) [2] jumpstart (initial advantage of transfer algorithm) [3] handicap (how long it takes the no-transfer algorithm to overcome the jumpstart) [4] asymptotic advantage (how much better the transfer learning algorithm does in the...
Resource Type:: Research Paper
Full Text:: Metrics for Transfer Learning Version 4 April 30, 2006 Tom Dietterich, editor Shortcomings of

ScholarsArchive@OSU

Open Source barriers to entry, revisited : a tools perspective

Continuous Integration (CI) Needs and Wishes for Developers of Proprietary Code

Analysis and Transformations in Support of Android Privacy

Does Choice of Mutation Tool Matter?

How Do Centralized and Distributed Version Control Systems Impact Software Changes?

Cost Effective Conceptual Design for Semantic Annotation (Extended Version)

Exploiting monotonicity via logistic regression in Bayesian network learning

The whats and hows of programmers' foraging diets

Browsing for information on the web and in the file system

Proposed metrics for transfer learning

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