Nome |
# |
Energy-aware Software, file e384c42e-3471-d4b2-e053-9f05fe0a1d67
|
1.148
|
Green IT - available data and guidelines for reducing energy consumption in IT Systems, file e384c42e-2940-d4b2-e053-9f05fe0a1d67
|
956
|
Smart Grid Technologies in Europe: An Overview, file e384c42e-23ee-d4b2-e053-9f05fe0a1d67
|
871
|
A Survey on Smart Grid Technologies in Europe, file e384c42e-1825-d4b2-e053-9f05fe0a1d67
|
869
|
Profiling Power Consumption on Desktop Computer Systems, file e384c42e-1830-d4b2-e053-9f05fe0a1d67
|
857
|
Energy Efficiency in the ICT - Profiling Power Consumption in Desktop Computer Systems, file e384c42e-1bc4-d4b2-e053-9f05fe0a1d67
|
775
|
Linked Data approach for selection process automation in Systematic Reviews, file e384c42e-0bc4-d4b2-e053-9f05fe0a1d67
|
751
|
Profiling Power Consumption on Mobile Devices, file e384c42e-269d-d4b2-e053-9f05fe0a1d67
|
682
|
Definition, implementation and validation of energy code smells: an exploratory study on an embedded system, file e384c42e-26ab-d4b2-e053-9f05fe0a1d67
|
637
|
Energy Consumption Analysis of Image Encoding and Decoding Algorithms, file e384c42e-38ef-d4b2-e053-9f05fe0a1d67
|
620
|
Towards an Efficient Context-Aware System: Problems and Suggestions to Reduce Energy Consumption in Mobile Devices, file e384c42e-177c-d4b2-e053-9f05fe0a1d67
|
607
|
gLCB: An Energy Aware Context Broker, file e384c42e-1b18-d4b2-e053-9f05fe0a1d67
|
500
|
Monitoring IT Power Consumption in a Research Center: Seven Facts, file e384c42e-150a-d4b2-e053-9f05fe0a1d67
|
475
|
Introducing Energy Efficiency into SQALE, file e384c42e-2557-d4b2-e053-9f05fe0a1d67
|
440
|
Energy Aware Self-Adaptation in Mobile Systems, file e384c42e-2636-d4b2-e053-9f05fe0a1d67
|
417
|
NGN PLATFORMS FOR EMERGENCY, file e384c42e-0afe-d4b2-e053-9f05fe0a1d67
|
396
|
Semantic Enrichment for Recommendation of Primary Studies in a Systematic Literature Review, file e384c42d-c65b-d4b2-e053-9f05fe0a1d67
|
370
|
Understanding Green Software Development: A Conceptual Framework, file e384c42e-2f6c-d4b2-e053-9f05fe0a1d67
|
181
|
Towards Automated Translation between Generations of GUI-based Tests for Mobile Devices, file e384c430-3c9d-d4b2-e053-9f05fe0a1d67
|
171
|
Mobile Testing: New Challenges and Perceived Difficulties from Developers of the Italian Industry, file e384c431-2f17-d4b2-e053-9f05fe0a1d67
|
155
|
Automated Test Selection for Android Apps Based on APK and Activity Classification, file e384c432-2f06-d4b2-e053-9f05fe0a1d67
|
74
|
PowTrAn: an R Package for Power Trace Analysis, file e384c431-d3d3-d4b2-e053-9f05fe0a1d67
|
52
|
Effectiveness of Kotlin vs. Java in Android App Development Tasks, file e384c432-587e-d4b2-e053-9f05fe0a1d67
|
44
|
A Tool-Based Perspective on Software Code Maintainability Metrics: A Systematic Literature Review, file e384c432-84e0-d4b2-e053-9f05fe0a1d67
|
30
|
Scripted GUI Testing of Android Open-Source Apps: Evolution of Test Code and Fragility Causes, file e384c431-0ad6-d4b2-e053-9f05fe0a1d67
|
29
|
A Metric Framework for the Gamification of Web and Mobile GUI Testing, file e384c433-d313-d4b2-e053-9f05fe0a1d67
|
29
|
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing, file e384c433-fb2e-d4b2-e053-9f05fe0a1d67
|
29
|
Methodological Guidelines for Measuring Energy Consumption of Software Applications, file e384c431-6ab8-d4b2-e053-9f05fe0a1d67
|
27
|
Evaluation of Rust code verbosity, understandability and complexity, file e384c433-09a2-d4b2-e053-9f05fe0a1d67
|
27
|
Preserving Privacy in the Globalized Smart Home:The SIFIS-Home Project, file e384c434-48de-d4b2-e053-9f05fe0a1d67
|
27
|
rust-code-analysis: A Rust library to analyze and extract maintainability information from source codes, file e384c432-9a1d-d4b2-e053-9f05fe0a1d67
|
25
|
Quality Assessment Methods for Textual Conversational Interfaces: A Multivocal Literature Review, file e384c434-1ede-d4b2-e053-9f05fe0a1d67
|
22
|
Methodological Guidelines for Measuring Energy Consumption of Software Applications, file e384c431-689b-d4b2-e053-9f05fe0a1d67
|
19
|
PowTrAn: an R Package for Power Trace Analysis, file e384c432-2be3-d4b2-e053-9f05fe0a1d67
|
19
|
Creativity embedding: A vector to characterise and classify plausible triples in deep learning NLP models, file e384c432-c550-d4b2-e053-9f05fe0a1d67
|
19
|
Automated translation of Android context-dependent gestures to visual GUI test instructions, file e384c433-d288-d4b2-e053-9f05fe0a1d67
|
15
|
Computational Cost Analysis and Data-Driven Predictive Modeling of Cloud-based Online NILM Algorithm, file e384c432-ddf7-d4b2-e053-9f05fe0a1d67
|
13
|
A Review on Tools, Mechanics, Benefits, and Challenges of Gamified Software Testing, file 3339c1ca-3209-4611-ac5f-186842fb7009
|
10
|
Translation from Layout-based to Visual Android Test Scripts: an Empirical Evaluation, file e384c432-4aac-d4b2-e053-9f05fe0a1d67
|
10
|
Evaluation of Rust code verbosity, understandability and complexity, file e384c432-bb85-d4b2-e053-9f05fe0a1d67
|
10
|
Special issue on new generations of UI testing, file e384c433-568a-d4b2-e053-9f05fe0a1d67
|
10
|
Emergency situations supported by Context-Aware and application streaming technologies, file e384c42e-1d53-d4b2-e053-9f05fe0a1d67
|
9
|
BIPMIN: A Gamified Framework for Process Modeling Education, file 65ec0b5a-3003-4532-9feb-872beeba6521
|
8
|
Scripted GUI Testing of Android Open-Source Apps: Evolution of Test Code and Fragility Causes, file e384c431-7b04-d4b2-e053-9f05fe0a1d67
|
8
|
Effectiveness of Kotlin vs. Java in Android App Development Tasks, file e384c432-6838-d4b2-e053-9f05fe0a1d67
|
7
|
Gamified Exploratory GUI Testing of Web Applications: a Preliminary Evaluation, file e384c434-e195-d4b2-e053-9f05fe0a1d67
|
7
|
MIMIC: a Multi Input Micro-Influencers Classifier, file e384c434-62a8-d4b2-e053-9f05fe0a1d67
|
6
|
Guidelines for GUI Testing Maintenance: A Linter for Test Smell Detection, file 9c91070c-b2e6-406c-935c-4a7747066c4a
|
5
|
Characterizing the transition to Kotlin of Android apps: a study on F-Droid, Play Store, and GitHub, file e384c430-c50a-d4b2-e053-9f05fe0a1d67
|
4
|
Espresso vs. Eyeautomate: An experiment for the comparison of two generations of android GUI testing, file e384c430-cc74-d4b2-e053-9f05fe0a1d67
|
4
|
Mobile Testing: New Challenges and Perceived Difficulties from Developers of the Italian Industry, file e384c432-7fa0-d4b2-e053-9f05fe0a1d67
|
4
|
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing, file e384c434-1e98-d4b2-e053-9f05fe0a1d67
|
4
|
Translation from Visual to Layout-based Android Test Cases: a Proof of Concept, file e384c434-91d8-d4b2-e053-9f05fe0a1d67
|
4
|
A Framework for the Gamification of GUI Testing, file 41e6196f-0f04-4539-8b18-72a0343ba144
|
3
|
UMLegend: A Gamified Learning Tool for Conceptual Modeling with UML Class Diagrams, file b3a52d7a-444e-44ee-816a-0e769e3944a4
|
3
|
Fragility of Layout-Based and Visual GUI Test Scripts: An Assessment Study on a Hybrid Mobile Application, file e384c430-d2ee-d4b2-e053-9f05fe0a1d67
|
3
|
Translation from Layout-based to Visual Android Test Scripts: an Empirical Evaluation, file e384c432-36cc-d4b2-e053-9f05fe0a1d67
|
3
|
Understanding Green Software Development: A Conceptual Framework, file e384c432-fe14-d4b2-e053-9f05fe0a1d67
|
3
|
A Metric Framework for the Gamification of Web and Mobile GUI Testing, file e384c433-c67b-d4b2-e053-9f05fe0a1d67
|
3
|
Automated translation of Android context-dependent gestures to visual GUI test instructions, file e384c433-e0c1-d4b2-e053-9f05fe0a1d67
|
3
|
An analysis of widget layout attributes to support Android GUI-based testing, file fb627b51-d012-4ab7-b94c-9d0c781f7b93
|
3
|
On Effectiveness and efficiency of Gamified Exploratory GUI Testing, file 1673f1ef-5547-431f-9d77-a3fa45fb393c
|
2
|
Gamification of Business Process Modeling Notation education: an experience report, file 7a94b304-001a-4f10-82c9-f783787fbce1
|
2
|
Creating and Evaluating a Software Power Model for Linux Single Board Computers, file e384c430-28e7-d4b2-e053-9f05fe0a1d67
|
2
|
Preserving Privacy in the Globalized Smart Home:The SIFIS-Home Project, file e384c434-964d-d4b2-e053-9f05fe0a1d67
|
2
|
A Review on Tools, Mechanics, Benefits, and Challenges of Gamified Software Testing, file 1e6c7945-b999-463e-a593-8ded46560d77
|
1
|
A Framework for the Gamification of GUI Testing, file 2e2019c4-b2ad-443b-bef9-77e00ee25abc
|
1
|
Computational Cost Analysis and Data-Driven Predictive Modeling of Cloud-based Online NILM Algorithm, file 43098f28-abe8-497a-89fa-cd4808d41d2d
|
1
|
On Effectiveness and efficiency of Gamified Exploratory GUI Testing, file 447ac8e9-4b7b-4e04-9333-23482a99f122
|
1
|
Research, Implementation and Analysis of Source Code Metrics in Rust-Code-Analysis, file 59871118-35c4-41f2-976e-71db61b485b2
|
1
|
Product-Focused Software Process Improvement, file 9ea74a77-5867-4111-a92d-ccaf5c43275e
|
1
|
An analysis of widget layout attributes to support Android GUI-based testing, file a34794f2-1863-4a38-a5b2-9962d6422f0c
|
1
|
Gamified GUI testing with Selenium in the IntelliJ IDE: A Prototype Plugin, file c92e9961-a912-403f-86b7-2f7ef024201a
|
1
|
Guidelines for GUI Testing Maintenance: A Linter for Test Smell Detection, file d8334729-e1fc-47ee-8229-96449f0fae8a
|
1
|
Totale |
12.529 |