Developer recommendation for Topcoder through a meta-learning based policy model

Zhang, Zhenyu; Sun, Hailong; Zhang, Hongyu

doi:10.1007/s10664-019-09755-0

Cited by 17 publications

(6 citation statements)

References 47 publications

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“…This control group was designed to ensure that a specific set of papers would consistently appear in the search engine results. [32,33]…”

Section: Query Stringmentioning

confidence: 99%

“…Developer recommendation for Topcoder through a meta-learning based policy model [32] R2 Harnessing global expertise: A comparative study of expertise profiling methods for online communities [31] R3 Replacing the Irreplaceable: Fast Algorithms for TeamMember Recommendation [34] R4 The Zen of Multidisciplinary Team Recommendation [ R11 Expert Finding Using Markov Networks in Open Source Communities [42] R12 A broad approach to expert detection using syntactic and semantic social networks analysis in the context of Global Software Development [43] TA B L E 2 Selected studies returned from the search string A noticeable concentration of papers is observed in 2019, 2021, and 2022, with four papers published in each of these years, as shown in Figure 2. This concentration implies that these particular years saw a high research activity and publication on the subject matter.…”

Section: R1mentioning

confidence: 99%

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Aligning technical knowledge to an industry domain in global software development: a systematic mapping

Campos,

David,

Stroele

et al. 2024

Preprint

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Finding software developers with expertise in specific technologies that align with industry domains is an increasingly critical requirement. However, due to the ever-changing nature of the technology industry, locating these professionals has become a significant challenge for companies and institutions. This research presents a comprehensive overview of studies exploring suitable recommendation systems that can assist companies in addressing this pressing need. To conduct this study, we employ a hybrid systematic mapping approach with an initial number of 1251 studies and a final selection of 21 studies. Our work focuses on collecting data on key technologies, methodologies, and data sets utilized in proposed recommendation systems, to design a new recommendation system that can effectively identify specialists capable of aligning specific technical knowledge with industry domains. The outcomes of this study include insights into the current research trends in this field, alongside a practical overview of considerations necessary for developing a recommendation system that successfully meets the criteria for aligning technical skills with industry domains. By following a hybrid Systematic Mapping methodology and presenting the outcomes in the form of insights, this research addresses the challenge of finding software developers with domain-specific expertise in a rapidly changing technology industry, laying the groundwork for aligning technical skills with industry domains.

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“…This control group was designed to ensure that a specific set of papers would consistently appear in the search engine results. [32,33]…”

Section: Query Stringmentioning

confidence: 99%

Section: R1mentioning

confidence: 99%

Aligning technical knowledge to an industry domain in global software development: a systematic mapping

Campos,

David,

Stroele

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…Where w means that the home service robot completes the subtask Ω The k capacity index value of n. Due to the different requirements of each employer, there are differences in the scores of home service robots for completing the same task, and the abilities of different home service robots are not the same, and the quality of completing the same task is also different [14]. Therefore, the ability measurement of home service robot to complete various tasks is the primary focus.…”

Section: mentioning

confidence: 99%

Functional Design of Home Service Robot Based on FAHP-FAST Combination Method

2021

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With the rapid development of advanced sensing technology, there are more and more ways to sense the health status of engineering equipment, which provides more possibilities for the acquisition of big data of equipment running FAHP-FAST combination. Therefore, the development of data-driven home service robot technology has ushered in a new opportunity, and the problem of home service robot with random degradation equipment for big data processing has attracted the attention of a large number of scholars. Firstly, this paper summarizes the research background, main methods and ideas, and core issues of home service robot based on the characteristics of FAHP-FAST. This paper analyzes the basic research ideas and development trends of home service robot technology based on hybrid model and data driven, home service robot technology based on FAHP-FAST, home service robot technology based on statistical data driven, and home service robot technology based on combination of FAHP-FAST and statistical data driven, at the same time, combined with the characteristics of random degradation equipment FAHP-FAST combined big data and the core problem of uncertainty quantification of home service robot, the limitations and common problems of current research are deeply analyzed. The research shows that the number of services of home service robots based on FAHP-FAST combination method is 36% more than that of machine learning discrete robots, and the mapping relationship between FAHP-FAST combination data and failure time of home service robots is established to realize home service robots, which provides a more efficient service mode for home service robots with random degraded devices under the background of big data.

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“…Project Planning [25] Requirement Management [20] Programming/Coding [14,21,37] Software Testing [7,17] Software Integration [7] Debugging [40] Software Evolution [40] Generic development [8][9][10][11][12][13]15,16,18,19,[22][23][24][26][27][28][29][30][31][32][33][34][35][36]38,39,41,42] The activities mentioned in Table 5 are the only software engineering activities where freelancers were involved as reported by the literature studies. The formulation of the category labels and classification of the studies in these categories were made on the basis of the software engineering activity that the literature studies have focused on.…”

Section: Software Development Area Research Studymentioning

confidence: 99%

Freelancers in the Software Development Process: A Systematic Mapping Study

2020

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[Context] Freelancers could catalyze the software development process by providing their niche skills to generate high quality outputs. They could help companies (including startups) to foster innovations by suggesting creative ideas and providing their expertise in implementing them (for instance, designing solutions, coding solutions etc.). Freelancers could effectively and efficiently work as a virtual member of the software development team. The company must make informed decisions about which task to allot to the freelancer, which freelancer to select, pricing the task, and evaluating the submitted work. On the other hand, the freelancer should make an informed decision about evaluating the monetary value of the task to be charged, trusting the requester, analyzing the skills requirement of the task (finding matches between skill requirement and skills processed), selecting the best task, and maintaining the highest level of reputation. However, the literature does not provide freelancers and the companies the guidelines that support their decision making. However, if freelancers are selected carefully for the most suitable task, the companies will benefit a lot in terms of improved software development metrics. [Objectives] The objective of this paper is to provide the research community the research trends in freelancer-supported software development. This helps to understand that which software development areas have higher concentrations of research efforts, which area has the support of empirical evidence to support management decision makings, and which area requires the research attention. [Method] The systematic study is conducted by planning the mapping protocol, executing the protocol, and reporting the findings using various visualization tools like bar charts and pie charts. The search process was planned to be executed using set of inclusion and exclusion conditions on four bibliographic databases (IEEExplore, Springerlink, Sciencedirect, and ACM digital library). The relevant papers are selected by applying inclusion and exclusion conditions. The google citations of the relevant papers are subject to the inclusion and exclusion conditions again to include the more relevant papers. Finally, the systematic schema was created and populated after analyzing the studies abstracts. [Results] The results indicate the following (a) The research focus is on generic software development (78%) rather on individual life cycle activities. (b) The number of empirical studies is limited (25%). (c) A number of studies proposing solutions and evaluating on live cases in industrial settings are missing from the literature. This is in comparison to the validation approaches (72%) i.e., solutions tested in laboratory settings. (d) At present, the literature has limited ability to provide the software companies (including startups) with the guidelines (in the form of opinions and experience reports) for involving freelancers in the software development process. (e) The reported challenges include Collaboration and Coordination (33%), Developer Recommendation (or selection) (19%), Team Formulation (14%), Task Recommendation (allocation) (14%), Task Decomposition (11%), Privacy and Security (Confidentiality) (11%), Budget Estimation (8%), Recognition (8%), Trust Issues (8%), Market Dynamism (6%), Intellectual Property Issues (6%), Participation of Crowd Worker (6%), and Capacity Utilization (3%). These challenges are highly interactive, and each challenge impacts all other challenges. (e) Recent focus of the researchers (total 7 studies in 2019) is on generic software development handling the collaboration and coordination (3 studies out of 7), Developer recommendation (2 studies out of 7), and task recommendation (2 studies out of 7). [Conclusion] The freelancer-driven software engineering research area has got the attraction of the researchers, but it will take a long time to gain maturity. This puts an urgent call for more empirical studies and evaluation-based solution research that could help companies (including startups) to foster innovations. Further, the research focus should be well distributed among the various development phases to address the unique challenges associated with individual activities. The accurate management of the freelancer in the software development could help companies and startups to foster innovations and remain competitive in the marketplace.

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Developer recommendation for Topcoder through a meta-learning based policy model

Cited by 17 publications

References 47 publications

Aligning technical knowledge to an industry domain in global software development: a systematic mapping

Aligning technical knowledge to an industry domain in global software development: a systematic mapping

Functional Design of Home Service Robot Based on FAHP-FAST Combination Method

Freelancers in the Software Development Process: A Systematic Mapping Study

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