Measuring the Effect of Social Communications on Individual Working Rhythms: A Case Study of Open Source Software

Xuan, Qi; Gharehyazie, Mohammad; Dévanbu, Prémkumar; Filkov, Vladimir

doi:10.1109/socialinformatics.2012.17

Cited by 27 publications

(45 citation statements)

References 25 publications

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“…Indeed, Bacchelli et al [7] and Cordeiro et al [8] argue that the current lack of integration between Q&A websites and modern IDEs forces developers to interrupt their flow and change context every time they need to deal with them, thus delaying their activity. Xuan et al [16] argue that social communication activities (such as asking or answering StackOverflow questions) may delay programming activities, since both of these activities compete for the time resources of developers. Indeed, it is well known that "a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it" [17].…”

Section: Related Workmentioning

confidence: 99%

“…Next we refine the approach and include information about the time intervals separating subsequent events. Following Xuan et al [16], we define a working rhythm of an individual in a given activity (committing, asking/answering questions) as determined by a series of interactivity times: ∆t i = t i+1 − t i , where t i is a timestamp of the i'th activity instance (commit, question, answer). Specifically, in this section we focus on committing rhythms.…”

Section: Intermediate Viewmentioning

confidence: 99%

“…The microscopic view takes this temporal aspect into account by considering committing, asking and answering as time-series. To study the interaction between activities we follow the approach proposed by Xuan et al [16].…”

Section: Microscopic Viewmentioning

confidence: 99%

See 2 more Smart Citations

StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge

Vasilescu

Filkov

Serebrenik

2013

2013 International Conference on Social Computing

Self Cite

224

151

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Abstract-StackOverflow is a popular on-line programming question and answer community providing its participants with rapid access to knowledge and expertise of their peers, especially benefitting coders. Despite the popularity of StackOverflow, its role in the work cycle of open-source developers is yet to be understood: on the one hand, participation in it has the potential to increase the knowledge of individual developers thus improving and speeding up the development process. On the other hand, participation in StackOverflow may interrupt the regular working rhythm of the developer, hence also possibly slow down the development process.In this paper we investigate the interplay between StackOverflow activities and the development process, reflected by code changes committed to the largest social coding repository, GitHub. Our study shows that active GitHub committers ask fewer questions and provide more answers than others. Moreover, we observe that active StackOverflow askers distribute their work in a less uniform way than developers that do not ask questions. Finally, we show that despite the interruptions incurred, the StackOverflow activity rate correlates with the code changing activity in GitHub.

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Section: Related Workmentioning

confidence: 99%

Section: Intermediate Viewmentioning

confidence: 99%

See 1 more Smart Citation

StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge

Vasilescu

Filkov

Serebrenik

2013

2013 International Conference on Social Computing

Self Cite

224

151

View full text Add to dashboard Cite

show abstract

“…However, recent works have showed that further detail analysis is required to resolve temporal correlations [31,32], bursts [19][20][21][22], and cascading [53] driven by circadian rhythm [23,24], complex decision-making of individuals [3,27,54], and external factors [6] such as the announcement of discoveries, as considered in the current data [38].…”

Section: Local Variationmentioning

confidence: 99%

“…In addition to their practical use for individuals, OSM have the advantage of generating a rich data set on collective social dynamics, as social relations among individuals, temporal properties of their interactions, and their contents are automatically stored. The study of these digital footprints has led to the emergence of computational social science, allowing to quantify at large-scales our political ideas and preferences [1], to discover roles in social networks [2,3], to predict our health [4] and personality [5], and to determine external effects on online behavior [6]. Importantly, in OSM, users are at the same time both actors and receivers and therefore the amplification of a trend originates from the interplay between influencing [7,8] and being influenced [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Temporal pattern of online communication spike trains in spreading a scientific rumor: how often, who interacts with whom?

Sanli

Lambiotte

2015

Front. Phys.

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Citation: Temporal We study complex time series (spike trains) of online user communication while spreading messages about the discovery of the Higgs boson in Twitter. We focus on online social interactions among users such as retweet, mention, and reply, and construct different types of active (performing an action) and passive (receiving an action) spike trains for each user. The spike trains are analyzed by means of local variation, to quantify the temporal behavior of active and passive users, as a function of their activity and popularity. We show that the active spike trains are bursty, independently of their activation frequency. For passive spike trains, in contrast, the local variation of popular users presents uncorrelated (Poisson random) dynamics. We further characterize the correlations of the local variation in different interactions. We obtain high values of correlation, and thus consistent temporal behavior, between retweets and mentions, but only for popular users, indicating that creating online attention suggests an alignment in the dynamics of the two interactions.

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Synchronous development in open-source projects: A higher-level perspective

et al. 2021

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Mailing lists are a major communication channel for supporting developer coordination in open-source software projects. In a recent study, researchers explored temporal relationships (e.g., synchronization) between developer activities on source code and on the mailing list, relying on simple heuristics of developer collaboration (e.g., co-editing files) and developer communication (e.g., sending e-mails to the mailing list). We propose two methods for studying synchronization between collaboration and communication activities from a higher-level perspective, which captures the complex activities and views of developers more precisely than the rather technical perspective of previous work. On the one hand, we explore developer collaboration at the level of features (not files), which are higher-level concepts of the domain and not mere technical artifacts. On the other hand, we lift the view of developer communication from a message-based model, which treats each e-mail individually, to a conversation-based model, which is semantically richer due to grouping e-mails that represent conceptually related discussions. By means of an empirical study, we investigate whether the different abstraction levels affect the observed relationship between commit activity and e-mail communication using state-of-the-art time-series analysis. For this purpose, we analyze a combined history of 40 years of data for three highly active and widely deployed open-source projects: QEMU, BusyBox, and OpenSSL. Overall, we found evidence that a higher-level view on the coordination of developers leads to identifying a stronger statistical dependence between the technical activities of developers than a less abstract and rather technical view.

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Measuring the Effect of Social Communications on Individual Working Rhythms: A Case Study of Open Source Software

Cited by 27 publications

References 25 publications

StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge

StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge

Temporal pattern of online communication spike trains in spreading a scientific rumor: how often, who interacts with whom?

Synchronous development in open-source projects: A higher-level perspective

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