• Publications
  • Influence
Who Should Take This Task?: Dynamic Decision Support for Crowd Workers
TLDR
A novel problem formulation, DCW-DS, and an analytics-based decision support methodology to guide workers in acceptance of offered development tasks can be used to improve total success rate as well as reduce quitting rate of tasks performed. Expand
Developer Recommendation for Crowdsourced Software Development Tasks
TLDR
The approach learns particular interests from registration history and mines winner history to favour appropriate developers and provides advice extracted from the results to guide the crowdsourcing platform in building a recommender system in practice. Expand
Negative results for software effort estimation
TLDR
The experiments of this paper show that, at least for effort estimation, how data is collected is more important than what learner is applied to that data, and that when COCOMO-style attributes are available, it is strongly recommend to use that data and use C OCOMO to generate predictions. Expand
FRLink: Improving the recovery of missing issue-commit links by revisiting file relevance
TLDR
FRLink can significantly improve the performance of missing link recovery compared with existing approaches, indicating that inMissing link recovery studies, sophisticated data selection and processing techniques necessitate more discussions due to the increasing variety and volume of information associated with issues and commits. Expand
Award vs. Worker Behaviors in Competitive Crowdsourcing Tasks
  • Ye Yang, R. Saremi
  • Computer Science
  • ACM/IEEE International Symposium on Empirical…
  • 1 October 2015
TLDR
A conceptual award-behavior model is developed, a set of research questions about the relationships of award and worker's behavior and performance are formulated, and 4 empirical studies on 514 crowdsourcing tasks extracted from TopCoder platform are conducted. Expand
Actionable Analytics for Software Engineering
TLDR
This theme issue aims to reflect on actionable analytics for software engineering and to document a catalog of success stories in which analytics has been proven actionable and useful, in some significant way, in an organization. Expand
Empirical Analysis on Parallel Tasks in Crowdsourcing Software Development
  • R. Saremi, Ye Yang
  • Computer Science
  • 30th IEEE/ACM International Conference on…
  • 9 November 2015
TLDR
An empirical study on analyzing four largest projects on Topcoder platform that intensively leverage crowdsourcing throughout the product implementation, testing, and assembly phases concludes that higher degree of parallelism would lead to higher demand for competing on tasks and shorter planning schedule to complete the project consequently better resource allocation. Expand
Dynamic Simulation of Software Workers and Task Completion
  • R. Saremi, Ye Yang
  • Engineering, Computer Science
  • IEEE/ACM 2nd International Workshop on…
  • 16 May 2015
TLDR
A systems dynamic model for crowd sourced software development platforms based on data gathered from Top coder indicates that incentivizing the crowd developers to become more active will lead to more tasks completion and success, and tasks associated with higher awards generally receive few submissions. Expand
Software crowdsourcing reliability: an empirical study on developers behavior
TLDR
The results can guide future research into crowdsourcing service design and can inform ideas for crowdsourcing strategy conception according to time, reward, development type, and other aspects of crowdsourcing. Expand
Using Bayesian regression and EM algorithm with missing handling for software effort prediction
TLDR
Experimental results suggest that BREM is promising in software effort prediction and the MDI strategy provides BREM with more accurate imputation for the missing values than those given by the independent missing imputation techniques. Expand
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