Nome |
# |
The Role of Social Media in Affective Trust Building in Customer-Supplier Relationships, file dd9e0c6b-f73b-1e9c-e053-3a05fe0a45ef
|
375
|
How to Ask for Technical Help? Evidence-based Guidelines for Writing Questions on Stack Overflow, file dd9e0c6b-cb83-1e9c-e053-3a05fe0a45ef
|
133
|
Assessing the Impact of Real-Time Machine Translation on Multilingual Meetings in Global Software Projects, file dd9e0c6b-c3f5-1e9c-e053-3a05fe0a45ef
|
103
|
KGTorrent: A dataset of python jupyter notebooks from kaggle, file dd9e0c6b-af4d-1e9c-e053-3a05fe0a45ef
|
68
|
Sentiment Polarity Detection for Software Development, file dd9e0c6b-c60a-1e9c-e053-3a05fe0a45ef
|
38
|
A large-scale, in-depth analysis of developers’ personalities in the Apache ecosystem, file dd9e0c6c-008c-1e9c-e053-3a05fe0a45ef
|
33
|
An empirical assessment of best-answer prediction models in technical Q&A sites, file dd9e0c6b-f735-1e9c-e053-3a05fe0a45ef
|
29
|
A Benchmark Study on Sentiment Analysis for Software Engineering Research, file dd9e0c6b-a82e-1e9c-e053-3a05fe0a45ef
|
28
|
Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?, file dd9e0c6b-da8a-1e9c-e053-3a05fe0a45ef
|
25
|
Sentiment Polarity Detection for Software Development, file dd9e0c6a-8334-1e9c-e053-3a05fe0a45ef
|
19
|
Towards productizing AI/ML Models: An industry perspective from data scientists, file dd9e0c6b-f189-1e9c-e053-3a05fe0a45ef
|
16
|
How to Ask for Technical Help? Evidence-based Guidelines for Writing Questions on Stack Overflow, file dd9e0c64-bcfb-1e9c-e053-3a05fe0a45ef
|
14
|
Assessing the Impact of Real-Time Machine Translation on Multilingual Meetings in Global Software Projects, file dd9e0c6a-607f-1e9c-e053-3a05fe0a45ef
|
12
|
A Case Study on Tool Support for Collaboration in Agile Development., file dd9e0c6b-f8ef-1e9c-e053-3a05fe0a45ef
|
11
|
An empirical assessment of best-answer prediction models in technical Q&A sites, file dd9e0c6a-9bbb-1e9c-e053-3a05fe0a45ef
|
10
|
A large-scale, in-depth analysis of developers’ personalities in the Apache ecosystem, file dd9e0c65-aa01-1e9c-e053-3a05fe0a45ef
|
9
|
The Role of Social Media in Affective Trust Building in Customer-Supplier Relationships, file dd9e0c6a-b6ed-1e9c-e053-3a05fe0a45ef
|
9
|
Eliciting Best Practices for Collaboration with Computational Notebooks, file 32f3b360-2e27-4d67-a71d-faf5e9d5cdd6
|
8
|
null, file dd9e0c64-baed-1e9c-e053-3a05fe0a45ef
|
7
|
A Benchmark Study on Sentiment Analysis for Software Engineering Research, file dd9e0c65-3d35-1e9c-e053-3a05fe0a45ef
|
6
|
null, file dd9e0c65-3d38-1e9c-e053-3a05fe0a45ef
|
6
|
A Case Study on Tool Support for Collaboration in Agile Development., file dd9e0c6a-7aab-1e9c-e053-3a05fe0a45ef
|
4
|
A Preliminary Investigation of MLOps Practices in GitHub, file 671ad514-7123-49ce-97fd-43de115ed38b
|
3
|
Sensor-Based Emotion Recognition in Software Development: Facial Expressions as Gold Standard, file b6b5b265-ef29-44c6-a417-b991e77fd85b
|
3
|
Group Awareness in Global Software Engineering, file dd9e0c62-8119-1e9c-e053-3a05fe0a45ef
|
3
|
null, file dd9e0c62-6c21-1e9c-e053-3a05fe0a45ef
|
2
|
null, file dd9e0c63-5661-1e9c-e053-3a05fe0a45ef
|
2
|
A University-NGO Partnership to Sustain Assistive Technology Projects, file dd9e0c63-59fc-1e9c-e053-3a05fe0a45ef
|
2
|
null, file dd9e0c63-744c-1e9c-e053-3a05fe0a45ef
|
2
|
null, file dd9e0c64-301c-1e9c-e053-3a05fe0a45ef
|
2
|
Establishing Personal Trust-based Connections in Distributed Teams, file dd9e0c64-a969-1e9c-e053-3a05fe0a45ef
|
2
|
Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting?, file dd9e0c68-76ec-1e9c-e053-3a05fe0a45ef
|
2
|
null, file dd9e0c6b-b766-1e9c-e053-3a05fe0a45ef
|
2
|
null, file dd9e0c6b-c969-1e9c-e053-3a05fe0a45ef
|
2
|
Predicting Bugs by Monitoring Developers During Task Execution, file 6cb9a788-52c7-4925-b9d3-58cef53f6bde
|
1
|
null, file dd9e0c62-6c23-1e9c-e053-3a05fe0a45ef
|
1
|
Collaboration Tools for Global Software Engineering, file dd9e0c62-73fb-1e9c-e053-3a05fe0a45ef
|
1
|
Affective Trust As a Predictor of Successful Collaboration in Distributed Software Projects, file dd9e0c63-6115-1e9c-e053-3a05fe0a45ef
|
1
|
Emotion Detection Using Noninvasive Low Cost Sensors, file dd9e0c64-9ac4-1e9c-e053-3a05fe0a45ef
|
1
|
null, file dd9e0c65-ab1f-1e9c-e053-3a05fe0a45ef
|
1
|
null, file dd9e0c65-ab25-1e9c-e053-3a05fe0a45ef
|
1
|
null, file dd9e0c67-9e85-1e9c-e053-3a05fe0a45ef
|
1
|
Recognizing Developers' Emotions while Programming, file dd9e0c68-2974-1e9c-e053-3a05fe0a45ef
|
1
|
null, file dd9e0c6c-2bfa-1e9c-e053-3a05fe0a45ef
|
1
|
null, file dd9e0c6c-2bfb-1e9c-e053-3a05fe0a45ef
|
1
|
Totale |
1.001 |