1,721,000 research outputs found
Assessing the Impact of Real-Time Machine Translation on Requirements Meetings: A Replicated Experiment
No full textOpportunities for global software development are limited in those countries with a lack of English-speaking professionals. Machine translation technology is today available in the form of cross-language web services and can be embedded into multiuser and multilingual chats without disrupting the conversation flow. However, we still lack a thorough understanding of how real-time machine translation may affect communication in global software teams.
In this paper, we present the replication of a controlled experiment that assesses the effect of real-time machine translation on multilingual teams while engaged in distributed requirements meetings. In particular, in this replication we specifically evaluate whether non-English speaking groups benefit from communicating in their own native languages when their English is not fluid enough for a fast-paced conversation
Real-Time Machine Translation for Software Development Teams
No full textOpportunities for global software development are limited in those countries with a lack of English-speaking professionals. Machine translation technology is today available in the form of cross-language web services and can be embedded into multiuser and multilingual chats without disrupting the conversation flow. However, we still lack a thorough understanding of how real-time machine translation may affect communication in global software teams. In this paper, we present a program of research related to real-time machine translation where we aim at investigating how MT technology could be used by software development teams located in countries where professionals are not proficient in one common language. We present the studies executed so far, including text-based and voice-based machine translation, as well as the next steps planned for this research
Collaboration Tools for Global Software Engineering
No full textSoftware engineering involves people collaborating to develop better software. Collaboration is challenging, especially across time zones and without face-to-face meetings. We therefore use collaboration tools all along the product life cycle to let us work together, stay together, and achieve results together. A survey of current collaborative development tools and environments summarizes their features and development trends
Assessing the Impact of Real-Time Machine Translation on Multilingual Meetings in Global Software Projects
Get PDFCommunication in global software development is hindered by language differences in countries with a lack of English speaking professionals. Machine translation is a technology that uses software to translate from one natural language to another. The progress of machine translation systems has been steady in the last decade. As for now, machine translation technology is particularly appealing because it might be used, in the form of cross-language chat services, in countries that are entering into global software projects. However, despite the recent progress of the technology, we still lack a thorough understanding of how real-time machine translation affects communication. In this paper, we present a set of empirical studies with the goal of assessing to what extent real-time machine translation can be used in distributed, multilingual requirements meetings instead of English. Results suggest that, despite far from 100% accurate, real-time machine translation is not disruptive of the conversation flow and, therefore, is accepted with favor by participants. However, stronger effects can be expected to emerge when language barriers are more critical. Our findings add to the evidence about the recent advances of machine translation technology and provide some guidance to global software engineering practitioners in regarding the losses and gains of using English as a lingua franca in multilingual group communication, as in the case of computer-mediated requirements meetings
An Empirical Simulation-based Study of Real-Time Speech Translation for Multilingual Global Project Teams
No full textContext: Real-time speech translation technology is today available but still lacks a complete understanding of how such technology may affect communication in global software projects.
Goal: To investigate the adoption of combining speech recognition and machine translation in order to overcome language barriers among stakeholders who are remotely negotiating software requirements.
Method: We performed an empirical simulation-based study including: Google Web Speech API and Google Translate service, two groups of four subjects, speaking Italian and Brazilian Portuguese, and a test set of 60 technical and non-technical utterances.
Results: Our findings revealed that, overall: (i) a satisfactory accuracy in terms of speech recognition was achieved, although significantly affected by speaker and utterance differences; (ii) adequate translations tend to follow accurate transcripts, meaning that speech recognition is the most critical part for speech translation technology.
Conclusions: Results provide a positive albeit initial evidence towards the possibility to use speech translation technologies to help globally distributed team members to communicate in their native languages
A Controlled Experiment on the Effects of Machine Translation in Multilingual Requirements Meetings
No full textRequirements engineering is a communication-intensive activity and thus it suffers much from language difficulties in global software projects. Remote requirements meetings can benefit from machine translation as this technology is today available in the form of cross-language chat services. In this paper, we present the design of a controlled experiment to investigate the effects of automatic machine translation services in requirements meetings. Experiment participants, using either Italian or Portuguese as native language, are asked to interact with a communication tool from a distance in order to prioritize and estimate requirements. First results show that real-time machine translation is not disruptive of the conversation flow and is accepted with favor by participants. However, concrete effects are expected to emerge when language barriers are critical
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
