Presented at: The 4th International Workshop on Refactoring (IWoR 2020)
Date of Conference: June 29, 2020
Conference Location: Seoul, South Korea (Online with Zoom)
We specialise in Bioaerosols, Sick Building Syndrome, Fenceline Monitoring, Urban air quality, Industrial air quality, construction air quality, CEMS, CAMS and much more.
Green scan methodology for green software assessmentPatricia Lago
Pragmatic yet effective methodology to evaluate green software for energy efficiency. It introduces the concept of "green hotspot", and is applicable for assessing software architectures against green aspects like energy efficiency and environmental sustainability
We specialise in Bioaerosols, Sick Building Syndrome, Fenceline Monitoring, Urban air quality, Industrial air quality, construction air quality, CEMS, CAMS and much more.
Green scan methodology for green software assessmentPatricia Lago
Pragmatic yet effective methodology to evaluate green software for energy efficiency. It introduces the concept of "green hotspot", and is applicable for assessing software architectures against green aspects like energy efficiency and environmental sustainability
A Model To Compare The Degree Of Refactoring Opportunities Of Three Projects ...acijjournal
Refactoring is applied to the software artifacts so as to improve its internal structure, while preserving its
external behavior. Refactoring is an uncertain process and it is difficult to give some units for
measurement. The amount to refactoring that can be applied to the source-code depends upon the skills of
the developer. In this research, we have perceived refactoring as a quantified object on an ordinal scale of
measurement. We have a proposed a model for determining the degree of refactoring opportunities in the
given source-code. The model is applied on the three projects collected from a company. UML diagrams
are drawn for each project. The values for source-code metrics, that are useful in determining the quality of
code, are calculated for each UML of the projects. Based on the nominal values of metrics, each relevant
UML is represented on an ordinal scale. A machine learning tool, weka, is used to analyze the dataset,
imported in the form of arff file, produced by the three projects
A MODEL TO COMPARE THE DEGREE OF REFACTORING OPPORTUNITIES OF THREE PROJECTS ...acijjournal
Refactoring is applied to the software artifacts so as to improve its internal structure, while preserving its
external behavior. Refactoring is an uncertain process and it is difficult to give some units for
measurement. The amount to refactoring that can be applied to the source-code depends upon the skills of
the developer. In this research, we have perceived refactoring as a quantified object on an ordinal scale of
measurement. We have a proposed a model for determining the degree of refactoring opportunities in the
given source-code. The model is applied on the three projects collected from a company. UML diagrams
are drawn for each project. The values for source-code metrics, that are useful in determining the quality of
code, are calculated for each UML of the projects. Based on the nominal values of metrics, each relevant
UML is represented on an ordinal scale. A machine learning tool, weka, is used to analyze the dataset,
imported in the form of arff file, produced by the three projects.
Multi step automated refactoring for code smelleSAT Journals
Abstract
Brain MR Image can detect many abnormalities like tumor, cysts, bleeding, infection etc. Analysis of brain MRI using image
processing techniques has been an active research in the field of medical imaging. In this work, it is shown that MR image of brain
represent a multi fractal system which is described a continuous spectrum of exponents rather than a single exponent (fractal
dimension). Multi fractal analysis has been performed on number of images from OASIS database are analyzed. The properties of
multi fractal spectrum of a system have been exploited to prove the results. Multi fractal spectra are determined using the modified
box-counting method of fractal dimension estimation.
Keywords: Brain MR Image, Multi fractal, Box-counting
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Software testing services in India .pptxSakshiPatel82
Our Software testing services in India are typically provided by specialized testing companies, independent testing teams, or integrated within software development companies. These services help businesses mitigate risks, enhance software quality, accelerate time-to-market, and ultimately improve customer satisfaction by delivering reliable and robust software solutions. Visit https://www.vtestcorp.com/ for details.
QUALITY METRICS OF TEST SUITES IN TESTDRIVEN DESIGNED APPLICATIONSijseajournal
New techniques for writing and developing software have evolved in recent years. One is Test-Driven
Development (TDD) in which tests are written before code. No code should be written without first having
a test to execute it. Thus, in terms of code coverage, the quality of test suites written using TDD should be
high.
In this work, we analyze applications written using TDD and traditional techniques. Specifically, we
demonstrate the quality of the associated test suites based on two quality metrics: 1) structure-based
criterion, 2) fault-based criterion. We learn that test suites with high branch test coverage will also have
high mutation scores, and we especially reveal this in the case of TDD applications. We found that TestDriven
Development is an effective approach that improves the quality of the test suite to cover more of the
source code and also to reveal more.
Software Refactoring Under Uncertainty: A Robust Multi-Objective ApproachWiem Mkaouer
Refactoring large systems involves several sources of uncertainty related to the severity levels of code smells to be corrected and the importance of the classes in which the smells are located. Due to the dynamic nature of software development, these values cannot be accurately determined in practice, leading to refactoring sequences that lack robustness. To address this problem, we introduced a multi-objective robust model, based on NSGA-II, for the software refactoring problem that tries to find the best trade-off between quality and robustness. We evaluated our approach using six open source systems and demonstrated that it is significantly better than state-of-the-art refactoring approaches in terms of robustness in 100% of experiments based on a variety of real-world scenarios. Our suggested refactoring solutions were found to be comparable in terms of quality to those suggested by existing approaches and to carry an acceptable robustness price. Our results also revealed an interesting feature about the trade-off between quality and robustness that demonstrates the practical value of taking robustness into account in software refactoring tasks.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Software testing tools are evolving. More testing frameworks are emerging through the open source community and commercial vendors. In addition, we’re starting to see the rise of machine-learning (ML) and artificial intelligence (AI) in testing solutions.
Given this evolution, it is important to map the tools that match both the practitioners’ skills and their testing types. When referring to the testing practitioners, we mainly look at three different personas:
-The business tester
-The software developer in test (SDET)
-The software developer
These practitioners are tasked with creating, maintaining, and executing unit tests, build acceptance tests, integration, regression, and other nonfunctional tests.
In this webinar led by Perfecto’s Chief Evangelist, Eran Kinsbruner, you will learn the following:
-How should testing types be dispersed among the three personas and throughout the DevOps pipeline?
-What tools should each of these three personas use for the creation and execution of tests?
-What are the key benefits to continuous testing when mapped correctly?
Presented at: The 6th International Workshop on Refactoring (IWoR 2022)
Date of Workshop: 14 October 2022
Conference Location: Oakland Center, Michigan, USA
This is a tutorial that was presented at: The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022)
Date of Conference: 10-14 October 2022
Conference Location: Oakland Center, Michigan, United States
Conference website: https://conf.researchr.org/track/ase-2022/ase-2022-tutorials#event-overview
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A Model To Compare The Degree Of Refactoring Opportunities Of Three Projects ...acijjournal
Refactoring is applied to the software artifacts so as to improve its internal structure, while preserving its
external behavior. Refactoring is an uncertain process and it is difficult to give some units for
measurement. The amount to refactoring that can be applied to the source-code depends upon the skills of
the developer. In this research, we have perceived refactoring as a quantified object on an ordinal scale of
measurement. We have a proposed a model for determining the degree of refactoring opportunities in the
given source-code. The model is applied on the three projects collected from a company. UML diagrams
are drawn for each project. The values for source-code metrics, that are useful in determining the quality of
code, are calculated for each UML of the projects. Based on the nominal values of metrics, each relevant
UML is represented on an ordinal scale. A machine learning tool, weka, is used to analyze the dataset,
imported in the form of arff file, produced by the three projects
A MODEL TO COMPARE THE DEGREE OF REFACTORING OPPORTUNITIES OF THREE PROJECTS ...acijjournal
Refactoring is applied to the software artifacts so as to improve its internal structure, while preserving its
external behavior. Refactoring is an uncertain process and it is difficult to give some units for
measurement. The amount to refactoring that can be applied to the source-code depends upon the skills of
the developer. In this research, we have perceived refactoring as a quantified object on an ordinal scale of
measurement. We have a proposed a model for determining the degree of refactoring opportunities in the
given source-code. The model is applied on the three projects collected from a company. UML diagrams
are drawn for each project. The values for source-code metrics, that are useful in determining the quality of
code, are calculated for each UML of the projects. Based on the nominal values of metrics, each relevant
UML is represented on an ordinal scale. A machine learning tool, weka, is used to analyze the dataset,
imported in the form of arff file, produced by the three projects.
Multi step automated refactoring for code smelleSAT Journals
Abstract
Brain MR Image can detect many abnormalities like tumor, cysts, bleeding, infection etc. Analysis of brain MRI using image
processing techniques has been an active research in the field of medical imaging. In this work, it is shown that MR image of brain
represent a multi fractal system which is described a continuous spectrum of exponents rather than a single exponent (fractal
dimension). Multi fractal analysis has been performed on number of images from OASIS database are analyzed. The properties of
multi fractal spectrum of a system have been exploited to prove the results. Multi fractal spectra are determined using the modified
box-counting method of fractal dimension estimation.
Keywords: Brain MR Image, Multi fractal, Box-counting
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Software testing services in India .pptxSakshiPatel82
Our Software testing services in India are typically provided by specialized testing companies, independent testing teams, or integrated within software development companies. These services help businesses mitigate risks, enhance software quality, accelerate time-to-market, and ultimately improve customer satisfaction by delivering reliable and robust software solutions. Visit https://www.vtestcorp.com/ for details.
QUALITY METRICS OF TEST SUITES IN TESTDRIVEN DESIGNED APPLICATIONSijseajournal
New techniques for writing and developing software have evolved in recent years. One is Test-Driven
Development (TDD) in which tests are written before code. No code should be written without first having
a test to execute it. Thus, in terms of code coverage, the quality of test suites written using TDD should be
high.
In this work, we analyze applications written using TDD and traditional techniques. Specifically, we
demonstrate the quality of the associated test suites based on two quality metrics: 1) structure-based
criterion, 2) fault-based criterion. We learn that test suites with high branch test coverage will also have
high mutation scores, and we especially reveal this in the case of TDD applications. We found that TestDriven
Development is an effective approach that improves the quality of the test suite to cover more of the
source code and also to reveal more.
Software Refactoring Under Uncertainty: A Robust Multi-Objective ApproachWiem Mkaouer
Refactoring large systems involves several sources of uncertainty related to the severity levels of code smells to be corrected and the importance of the classes in which the smells are located. Due to the dynamic nature of software development, these values cannot be accurately determined in practice, leading to refactoring sequences that lack robustness. To address this problem, we introduced a multi-objective robust model, based on NSGA-II, for the software refactoring problem that tries to find the best trade-off between quality and robustness. We evaluated our approach using six open source systems and demonstrated that it is significantly better than state-of-the-art refactoring approaches in terms of robustness in 100% of experiments based on a variety of real-world scenarios. Our suggested refactoring solutions were found to be comparable in terms of quality to those suggested by existing approaches and to carry an acceptable robustness price. Our results also revealed an interesting feature about the trade-off between quality and robustness that demonstrates the practical value of taking robustness into account in software refactoring tasks.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Software testing tools are evolving. More testing frameworks are emerging through the open source community and commercial vendors. In addition, we’re starting to see the rise of machine-learning (ML) and artificial intelligence (AI) in testing solutions.
Given this evolution, it is important to map the tools that match both the practitioners’ skills and their testing types. When referring to the testing practitioners, we mainly look at three different personas:
-The business tester
-The software developer in test (SDET)
-The software developer
These practitioners are tasked with creating, maintaining, and executing unit tests, build acceptance tests, integration, regression, and other nonfunctional tests.
In this webinar led by Perfecto’s Chief Evangelist, Eran Kinsbruner, you will learn the following:
-How should testing types be dispersed among the three personas and throughout the DevOps pipeline?
-What tools should each of these three personas use for the creation and execution of tests?
-What are the key benefits to continuous testing when mapped correctly?
Presented at: The 6th International Workshop on Refactoring (IWoR 2022)
Date of Workshop: 14 October 2022
Conference Location: Oakland Center, Michigan, USA
This is a tutorial that was presented at: The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022)
Date of Conference: 10-14 October 2022
Conference Location: Oakland Center, Michigan, United States
Conference website: https://conf.researchr.org/track/ase-2022/ase-2022-tutorials#event-overview
Ph.D. Dissertation Presentation
B. Thomas Golisano College of Computing and Information Sciences
Rochester Institute of Technology
Date of presentation: June 28, 2022
Location: Virtual
Link to dissertation: https://scholarworks.rit.edu/theses/11219/
Searching and applying for a job can be one of the most exciting and stressful times for a student. As a Ph.D. candidate, you can either join the industry or academia as a faculty member. In this talk, I will provide a walkthrough on how to navigate the academic job market. As a recent faculty hire, I will share my experience and tips from searching for openings, document and interview preparation, to finally negotiating your package.
Presented at the "What's Next? Career Talk" session organized by RIT Doctoral Student Association
Date of Presentation: 01 September 2022
Location: Virtual
In-Person presentation at: The 19th International Conference on Mining Software Repositories (MSR '22)
Date of Conference: 24 May 2022
Conference Location: Pittsburgh, PA, USA
Preprint: https://www.peruma.me/publication/2022-msr-debt/2022-MSR-DEBT.pdf
This is a tutorial that was presented at: The 20th International Conference on Software and Systems Reuse (ICSR'22)
Date of Conference: 15-17 June 2022
Conference Location: Virtual
Conference website: https://icsr2022v2.wp.imt.fr/
This is a tutorial that was presented at: The 20th International Conference on Software and Systems Reuse (ICSR'22)
Date of Conference: 15-17 June 2022
Conference Location: Virtual
Conference website: https://icsr2022v2.wp.imt.fr/
Virtual presentation at: The 19th International Conference on Mining Software Repositories (MSR '22)
Date of Conference: May 2022
Conference Location: Virtual
Preprint: https://www.peruma.me/publication/2022-msr-debt/2022-MSR-DEBT.pdf
Presented at: The 1st International Workshop on Natural Language-based Software Engineering (NLBSE ‘22)
Date of Conference: May 2022
Conference Location: Virtual
The preprint is available at: https://www.peruma.me/publication/2022-nlbse-digits/2022-nlbse-digits.pdf
A video of the presentation is available at: https://youtu.be/ERD6GTFzOxY
Presented at: The 44th IEEE/ACM International Conference on Software Engineering (ICSE 2022)
Date of Conference: May 2022
Conference Location: Virtual & Pittsburgh, PA, USA
This paper was originally published in the Empirical Software Engineering journal
The preprint is available at: https://arxiv.org/pdf/2110.12229
A video of the presentation is available at: https://youtu.be/suWRL2nmxMs
Presented at: The 37th International Conference on Software Maintenance and Evolution (ICSME '21)
Date of Conference: September 27 - October 1, 2021
Conference Location: Virtual Conference
Presented at: The 29th IEEE/ACM International Conference on Program Comprehension (ICPC '21)
Date of Conference: Tue 18 - Thu 20 May 2021
Conference Location: Virtual Conference
Presented at: The 18th International Conference on Mining Software Repositories (MSR '21)
Date of Conference: Mon 17 - Wed 19 May 2021
Conference Location: Virtual Conference
Presented at: 19th IEEE International Working Conference on Source Code Analysis and Manipulation
Date of Conference: 30 Sept.-1 Oct. 2019
Conference Location: Cleveland, OH, USA
DOI: https://doi.org/10.1109/SCAM.2019.00017
Presented at: The 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019)
Date of Conference: November 4, 2019 - November 6, 2019
Conference Location: Markham, Ontario, Canada
DOI: https://dl.acm.org/doi/abs/10.5555/3370272.3370293
Presented at: 2019 IEEE/ACM 6th International Conference on Mobile Software Engineering and Systems (MOBILESoft)
Date of Conference: 25 May 2019
Conference Location: Montreal, QC, Canada, Canada
DOI: https://doi.org/10.1109/MOBILESoft.2019.00030
Presented at: 19th IEEE International Working Conference on Source Code Analysis and Manipulation
Date of Conference: 30 Sept.-1 Oct. 2019
Conference Location: Cleveland, OH, USA
DOI: https://doi.org/10.1109/SCAM.2019.00034
An introduction to SignalR
This deck was part of my presentation to Virtusa employees on an ASP.NET asynchronous, persistent signaling library known as SignalR
There is also a slide on how to use SignalR with SharePoint.
Date: August 2013
Follow / Tweet me: @ShehanPeruma
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
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Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
An Exploratory Study on the Refactoring of Unit Test Files in Android Applications
1. An Exploratory Study on the Refactoring of
Unit Test Files in Android Applications
Anthony Peruma, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, Fabio Palomba
4 t h I n t e r n a t i o n a l W o r k s h o p o n R e f a c t o r i n g ( I W o R 2 0 2 0 )
2. REFACTORING
Smelly source
code files
Refactoring
source code
Smell free
source code
Smells are symptoms of bad
programming practices – a
threat to design
Refactoring improves the
internal design of software
systems without altering its
external behavior
Refactoring involves locating
and correcting smells
exhibited by the source code
An essential software maintenance activity
Refactoring operations enable developers to take necessary actions to correct bad programming practices
01
3. TEST SMELLS
Test code, like production code, is subject to smells
Formally introduced in 2001 with 11 smell types
Inclusion of additional smell types, analysis of their
evolution and longevity, and elimination patterns
Tools to detect specific smell types
Studies on traditional Java applications
02
5. GOAL
Expand our understanding of the
relationship between refactoring
changes and their effect on test smells
in Android apps
04
6. RESEARCH QUESTIONS
What types of refactoring operations are applied to
unit test files compared to non-test files?01
What types of refactoring operations are frequently
applied to smelly test files?02
What kinds of refactorings are typically used to remove
test smells?03
05
7. CONTRIBUTIONS
01
An understanding of
refactoring operations
applied to test suites of
Android apps
02
Insights into the
relationships between
refactoring operations
and test smells
03
A dataset for replication
and extension
purposes, available on
our project website
06
8. EXPERIMENT DESIGN
Dataset of test
files & smells in
Android apps
Detection of
refactoring
operations
Dataset of
refactoring
operations
Analysis of results
open-source apps: 250 refactored test files: 4,709
refactoring commits: 62,953
refactoring operations: 336,771
07
9. TEST SMELLS & REFACTORING OPERATIONS
◸ Assertion Roulette
◸ Conditional Test Logic
◸ Constructor Initialization
◸ Default Test
◸ Duplicate Assert
◸ Eager Test
◸ Empty Test
◸ Exception Handling
◸ General Fixture
◸ Ignored Test
.
.
.
◸ Rename Method
◸ Change Variable Type
◸ Rename Variable
◸ Inline Method
◸ Extract Method
◸ Move Class
◸ Move Method
◸ Pull Up Method
◸ Split Attribute
◸ Push Down Method.
.
.
.
19 Test Smells 39 Refactoring Operations
08
10. RQ 1 - What types of refactoring operations are applied
to unit test files compared to non-test files?
◸ 91.98% of refactorings are applied to methods
Vs. 8.02% to classes
Refactoring Operations Count %
Rename Method 1511 19.81%
Change Variable Type 1452 19.03%
Rename Variable 803 10.53%
Change Attribute Type 773 10.13%
Extract Method 426 5.58%
Other Operations 2,664 34.29%
Total 7,629 100%
Refactoring Operations Count %
Move Class 23,180 13.33%
Change Parameter Type 14,178 8.15%
Change Attribute Type 12,921 7.43%
Rename Method 12,074 6.94%
Rename Parameter 11,299 6.50%
Other Operations 100,249 57.65%
Total 173,901 100%
Test Files Non-Test Files
◸ 49.27% of refactorings are applied to methods
Vs. 50.73% to classes
65% 42%
◸ Test files tend to undergo more renames ◸ Non-test files are subject to more design level
types of refactorings 09
11. RQ 2 - What types of refactoring operations are
frequently applied to smelly test files?
Co-occurring
Count %Smell Type Refactoring Operation
Assertion Roulette Change Variable Type 141 53.01%
Eager Test Extract Method 14 42.42%
Lazy Test Extract Method 20 30.30%
General Fixture Change Attribute Type 8 38.10%
Redundant
Assertion Move Method 9 29.03%
Approach: Extracted test files that exhibited only one smell type and then looked at the refactorings in the file
4,589 test files that had one or more smells had undergone a refactoring
The attribute is utilized in the setup()
method
The variable and the smell exist
within a test method
These smells and refactoring
operation are related to test methods
A debugging smell introduced when
making design level changes
10
12. RQ 3 - What kinds of refactorings are typically used to
remove test smells?
Approach: Lifetime history of a smelly test file; matched the refactoring applied with a smell reduction
38%2.121.30
Avg. smells removed
by refactoring test file
Avg. refactoring operations
to reduce smell count
Freq. for a single refactoring
to remove a single smell type
481
Smelly test files that had
a reduction & refactoring
◸ Change Variable Type being one of the most common refactorings applied when a smell is removed
◸ Eager Test is frequently resolved by developers when performing a single refactoring operation
◸ Please refer the paper for a qualitative based set of examples on the co-occurrence of smell type
reduction and refactoring operations -- Extract Method resolving the Conditional Test Logic smell
◸ Manual review - most refactorings are applied for reasons other than for the correction of smell
◹ More in-depth, and developer supported, studies are needed
11
13. TAKEAWAYS
RQ 1
Developers are better
prepared to estimate
rework effort for (non-)
test files
Specialized tools for
refactoring files
RQ 2
Developers are better
prepared in determining
the most likely smell
being introduced when
performing a refactoring
of a test file
RQ 3
Refactoring of test files
are mostly related to
development activities
such as fixing issues,
adhering to coding
standards, etc.
12
14. SUMMARY
Mined refactoring operations and test smells in 250
open-source Android apps01
App developers apply a different set of refactorings to
test and non-test source code files02
There exist scenarios where refactoring operations are
utilized to correct a test smell04
Certain test smells and refactoring operations that co-
occur frequently (e.g., Lazy Test & Extract Method)03
13
15. THANKS!
h t t p s : / / t e s t s m e l l s . g i t h u b . i o