A Framework for Multi-source Studies based on Unstructured Data.

•

0 likes•81 views

Mathias Birrer, Pooja Ruhal, Sebastiano Panichella, and Oscar Niestrasz: Makar: A Framework for Multi-source Studies based on Unstructured Data. International Conference on Software Analysis, Evolution and Reengineering (SANER 2021).

Presentations & Public Speaking

Makar: A Framework for Multi-source
Studies Based on Unstructured Data

Mathias Birrer, Pooja Rani, Sebastiano Panichella, Oscar Nierstrasz
University of Bern, Switzerland

/** Code comments */
Do developers discuss code comments?
/** 
* TOD
O

*
/

public void log(String s)
{

System.out.println(s)
;

}
2

Developers use various discussion sources
3
Planning
Implementation
Releasing
Maintenance
Testing

4
Challenges
Planning
Implementation
Releasing
Maintenance
Testing
Extracting
Processing Querying Exploring

Makar
5
Makar: A tool for Multi-source Studies
https://github.com/maethub/makar
Planning
Implementation
Releasing
Maintenance
Testing
Extracting
Processing Querying Exploring

Features
Extract data from di
ff
erent sources 
e.g., Stack Over
fl
ow, Github, Mailing Lists

Support mapping and processing the data

Explore and perform ad-hoc searches

Produce a reproducible dataset
6

7
What do developers
ask about comments on
Stack overflow?
How can I
include additional data
sources?
Demo

8
Future work
Extension of data source adapters

Development of analysis and visualisation components

Facilitation of more multi-source studies

Hosted on Github

https://github.com/maethub/makar

Demo at YouTube

https://youtu.be/Yqj1b4Bv-58

Replication Package at Zenodo

https://doi.org/10.5281/zenodo.4434822

Contact us

9
https://twitter.com/poojaruhal http://scg.unibe.ch/staff/Pooja-Rani
Makar: A Framework for Multi-source
Studies Based on Unstructured Data

What's hot

Demonstrating a Framework for KOS-based Recommendations Systems

GESIS

Citation and Research Objects: Toward Active Research Objects

Daniel S. Katz

EXTRA Open Source Rules Classification for News

Stuart Myles

News about DSpace-CRIS Anwendertreffen 2020

4Science

2011 IBM-KNAW Cambridge - How to store meaningful bits permanently

Dirk Roorda

DSpace-CRIS & OpenAIRE

4Science

II-SDV 2016 RightsDirect

Dr. Haxel Consult

Putting Historical Data in Context: how to use DSpace-GLAM

4Science

The Big Data Challenges Associated with Building a National Data Repository for Chemistry Antony Williams (Royal Society of Chemistry , USA) At a time when the data explosion has simply been redefined as “Big”, the hurdles associated with building a subject-specific data repository for chemistry are daunting. Combining a multitude of non-standard data formats for chemicals, related properties, reactions, spectra etc., together with the confusion of licensing and embargoing, and providing for data exchange and integration with services and platforms external to the repository, the challenge is significant. This all at a time when semantic technologies are touted as the fundamental technology to enhance integration and discoverability. Funding agencies are demanding change, especially a change towards access to open data to parallel their expectations around Open Access publishing. The Royal Society of Chemistry has been funded by the Engineering and Physical Science Research of the UK to deliver a “chemical database service” for UK scientists. This presentation will provide an overview of the challenges associated with this project and our progress in delivering a chemistry repository capable of handling the complex data types associated with chemistry. The benefits of such a repository in terms of providing data to develop prediction models to further enable scientific discovery will be discussed and the potential impact on the future of scientific publishing will also be examined.

ICIC 2013 Conference Proceedings Antony Williams Royal Society of Chemistry

Dr. Haxel Consult

balloon: LOD forecasting - cloudy with a chance of services

Kai Schlegel

ICIC 2013 New Product Introductions Minesoft

Dr. Haxel Consult

Open Harvester - Search publications for a researcher from CrossRef, PubMed a...

Muhammad Javed

ICIC 2013 New Product Introductions ChemAxon

Dr. Haxel Consult

DSpace-CRIS ORCID Integration

4Science

Open Source Search Andreas Pesenhofer (max.recall, Austria) Helmut Berger (max.recall, Austria Open source search technologies receive more and more attention for a growing range of applications. While initially being developed for the sole purpose of search, they are increasingly being used to power analytics applications with the purpose of performing complex operations on large amounts of complex data. With the ever-increasing amount of data being available on many levels (e.g. personal, team- or company-wide, or global), search often is the only way to get access to the information actually needed. Given the value of this information, the more important it is to have full control over how it is indexed, a fundamental property open source search technologies are able to provide in contrast to many proprietary solutions. This presentation provides an overview of what can be done with Lucene and Lucene-based search engines like Solr and - recently receiving more attention in the light of cloud-based scale-out solutions - ElasticSearch. These open source projects have reached a state of maturity and commercial support that enabled them to compete with and already replace proprietary solutions of established vendors.

ICIC 2013 Conference Proceedings Andreas Pesenhofer max.recall

Dr. Haxel Consult

IPTC EXTRA and EXTRA+ November 2017

Stuart Myles

Liberating Laboratory Data - Eureka

Stuart Chalk

Labman: a Research Information System to Foster Insight Discovery Through Vis...

Oscar Peña del Rio

INRIA-OAK

Visualizing Co-authorship Networks for Actionable Insights: Action Design Res...

Jukka Huhtamäki

What's hot (20)

Demonstrating a Framework for KOS-based Recommendations Systems

Citation and Research Objects: Toward Active Research Objects

EXTRA Open Source Rules Classification for News

News about DSpace-CRIS Anwendertreffen 2020

2011 IBM-KNAW Cambridge - How to store meaningful bits permanently

DSpace-CRIS & OpenAIRE

II-SDV 2016 RightsDirect

Putting Historical Data in Context: how to use DSpace-GLAM

ICIC 2013 Conference Proceedings Antony Williams Royal Society of Chemistry

balloon: LOD forecasting - cloudy with a chance of services

ICIC 2013 New Product Introductions Minesoft

Open Harvester - Search publications for a researcher from CrossRef, PubMed a...

ICIC 2013 New Product Introductions ChemAxon

DSpace-CRIS ORCID Integration

ICIC 2013 Conference Proceedings Andreas Pesenhofer max.recall

IPTC EXTRA and EXTRA+ November 2017

Liberating Laboratory Data - Eureka

Labman: a Research Information System to Foster Insight Discovery Through Vis...

Visualizing Co-authorship Networks for Actionable Insights: Action Design Res...

Similar to A Framework for Multi-source Studies based on Unstructured Data.

U-Boot community analysis

xulioc

Coursera data science specialization

Mengshu Liu

Jupyter Ascending: a practical hand guide to galactic scale, reproducible dat...

John Fonner

This talk was given at the Cologne AI and Machine Learning Meetup on April 13, 2023 (https://www.meetup.com/de-DE/cologne-ai-and-machine-learning-meetup/events/291513393/) by Dr. Andreas Weiden, Co-Lead Cloud / Data Engineering at skillbyte: MLOps pipelines using MLFlow - From training to production In this talk we explore the world of MLOps pipelines and how MLFlow can be used to facilitate workflows for getting your machine learning models from training to production. We will briefly delve into the tracking aspects of MLFlow and how to store experiments and runs. Next, we will move on to an actual use case that involves managing artefacts generated by multiple training pipelines running on a daily schedule. These artefacts are used in prediction services but also in managed vector search engines such as ElasticSearch and Google VertexAI. A simple microservice that polls the MLFlow registry is used to update both REST-APIs running in Kubernetes and to ingest the models into the vector search services. Finally, we will compare different alternatives that were considered.

MLOps pipelines using MLFlow - From training to production

Fabian Hadiji

Collaborative Data Analysis with Taverna Workflows

Andrea Wiggins

What happens when you transform your threat hunt playbooks from static step-by-step guides to something more dynamic? What if instead of copying and pasting code and queries from a document you could execute blocks of code from within the same framework as your text and notes? Notebook technologies have emerged largely from the data science community and have a direct application to the security domain. We will show data science examples applied to threat hunting that involve interfacing with data from across the data landscape … one notebook, multiple data sources. https://events.secureworldexpo.com/agenda/seattle-wa-2018/

Threat hunting using notebook technologies

Ashwin Patil, GCIH, GCIA, GCFE

OpenStack 101: Introduction & Technical Overview

Thang Man

Analysis of Major Trends in Big Data Analytics

DataWorks Summit/Hadoop Summit

Analysis of Major Trends in Big Data Analytics

DataWorks Summit/Hadoop Summit

This talk given at the Hadoop Summit in San Jose on June 28, 2016, analyzes a few major trends in Big Data analytics. These are a few takeaways from this talk: - Adopt Apache Beam for easier development and portability between Big Data Execution Engines. - Adopt stream analytics for faster time to insight, competitive advantages and operational efficiency. - Accelerate your Big Data applications with In-Memory open source tools. - Adopt Rapid Application Development of Big Data applications: APIs, Notebooks, GUIs, Microservices… - Have Machine Learning part of your strategy or passively watch your industry completely transformed! - How to advance your strategy for hybrid integration between cloud and on-premise deployments?

Analysis-of-Major-Trends-in-big-data-analytics-slim-baltagi-hadoop-summit

Slim Baltagi

ExSchema - ICSM'13

jccastrejon

Jayse farrell resume

Jayse Farrell

Sanoop Thomas & Samandeep Singh Burp suite is the de-facto proxy application for web security testers. This hands-on workshop will explore the different capabilities of burp proxy application, also dive into the extensions and tooling options to perform improved application security test cases. The workshop will start with a quick overview of burp usage, different settings, features, some commonly useful extensions and then explore deep into its extension APIs to build your own custom extensions. We will provide a suitable development environment in Java and Python platforms. This will be a hands-on workshop and participants will learn how to automate different application security test scenarios and build burp extensions with the help of templates.

DevSecCon Singapore 2019: Workshop - Burp extension writing workshop

DevSecCon

UKSG 2018 Lightning Talk - Annotations as research objects: findable, indexab...

UKSG: connecting the knowledge community

Getting Started with Splunk Breakout Session

Splunk

Flexible Resources In 3 6 And E4

szbra

Software Analytics: Data Analytics for Software Engineering

Tao Xie

ownR platform extended technical introduction

Functional Analytics

ownR extended technical introduction

Functional Analytics

Big data & hadoop framework

Tu Pham

Similar to A Framework for Multi-source Studies based on Unstructured Data. (20)

U-Boot community analysis

Coursera data science specialization

Jupyter Ascending: a practical hand guide to galactic scale, reproducible dat...

MLOps pipelines using MLFlow - From training to production

Collaborative Data Analysis with Taverna Workflows

Threat hunting using notebook technologies

OpenStack 101: Introduction & Technical Overview

Analysis of Major Trends in Big Data Analytics

Analysis-of-Major-Trends-in-big-data-analytics-slim-baltagi-hadoop-summit

ExSchema - ICSM'13

Jayse farrell resume

DevSecCon Singapore 2019: Workshop - Burp extension writing workshop

UKSG 2018 Lightning Talk - Annotations as research objects: findable, indexab...

Getting Started with Splunk Breakout Session

Flexible Resources In 3 6 And E4

Software Analytics: Data Analytics for Software Engineering

ownR platform extended technical introduction

ownR extended technical introduction

Big data & hadoop framework

More from Sebastiano Panichella

The 3rd Intl. Workshop on NL-based Software Engineering

Sebastiano Panichella

Diversity-guided Search Exploration for Self-driving Cars Test Generation thr...

Sebastiano Panichella

SBFT Tool Competition 2024 -- Python Test Case Generation Track

Sebastiano Panichella

SBFT Tool Competition 2024 - CPS-UAV Test Case Generation Track

Sebastiano Panichella

Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist

Sebastiano Panichella

Testing with Fewer Resources: Toward Adaptive Approaches for Cost-effective ...

Sebastiano Panichella

COSMOS: DevOps for Complex Cyber-physical Systems

Sebastiano Panichella

Testing and Development Challenges for Complex Cyber-Physical Systems: Insigh...

Sebastiano Panichella

An Empirical Characterization of Software Bugs in Open-Source Cyber-Physical ...

Sebastiano Panichella

Automated Identification and Qualitative Characterization of Safety Concerns ...

Sebastiano Panichella

The 2nd Intl. Workshop on NL-based Software Engineering

Sebastiano Panichella

The 16th Intl. Workshop on Search-Based and Fuzz Testing

Sebastiano Panichella

Here are the slides of the presentation of the paper entitled "Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights". It was presented at the IEEE International Conference on Software Testing, Verification, and Validation (ICST) 2023. The presentation concerns the ongoing research in the COSMOS H2020 project (https://www.cosmos-devops.org/), as outlined by the ICST Program (https://conf.researchr.org/program/icst-2023/program-icst-2023/?past=Show%20upcoming%20events%20only).

Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Nei...

Sebastiano Panichella

Exposed! A case study on the vulnerability-proneness of Google Play Apps

Sebastiano Panichella

Search-based Software Testing (SBST) '22 Workshop Co-Chairs: Giovani Guizzo UNIVERSITY COLLEGE LONDON, UNITED KINGDOM Sebastiano Panichella ZURICH UNIVERSITY OF APPLIED SCIENCE, SWITZERLAND Competition Co-Chairs: Alessio Gambi UNIVERSITY OF PASSAU, GERMANY Gunel Jahangirova UNIVERSITÀ DELLA SVIZZERA ITALIANA, SWITZERLAND Vincenzo Riccio UNIVERSITÀ DELLA SVIZZERA ITALIANA, SWITZERLAND Fiorella Zampetti UNIVERSITY OF SANNIO, ITALY Website Chair: Rebecca Moussa UNIVERSITY COLLEGE LONDON, UNITED KINGDOM Program Committee: Nazareno Aguirre, Universidad Nacional de Río Cuarto - CONICET, Argentina Aldeida Aleti, Monash University, Australia Giuliano Antoniol, Ecole Polytechnique de Montréal, Canada Kate Bowers, Oakland University, USA Jose Campos, University of Washington, USA Thelma E. Colanzi, State University of Maringá, Brazil Byron DeVries, Grand Valley State University, USA Gordon Fraser, University of Passau, Germany Erik Fredericks, Oakland University, USA Gregory Gay, Chalmers and the University of Gothenburg, Sweden Alessandra Gorla, IMDEA Software Institute, Spain Gregory Kapfhammer, Allegheny College, USA Yiling Lou, Peking University, China Mitchell Olsthoorn, Delft University of Technology, Netherlands Justyna Petke, University College London, UK Silvia R. Vergilio, Universidade Federal do Paraná, Brazil Simone do Rocio Senger de Souza, University of São Paulo, Brazil Thomas Vogel, Humboldt-Universität zu Berlin, Germany Jie Zhang, University College London, UK

Search-based Software Testing (SBST) '22

Sebastiano Panichella

NL-based Software Engineering (NLBSE) '22

Sebastiano Panichella

Tool Competition Introduction NLP-based approaches and tools have been proposed to improve the efficiency of software engineers, processes, and products, by automatically processing natural language artifacts (issues, emails, commits, etc.). We believe that the availability of accurate tools is becoming increasingly necessary to improve Software Engineering (SE) processes. One important process is issue management and prioritization where developers have to understand, classify, prioritize, assign, etc. incoming issues reported by end-users and developers. This year, we are pleased to announce the first edition of the NLBSE’22 tool competition on issue report classification, an important task in issue management and prioritization. For the competition, we provide a dataset encompassing more than 800k labeled issue reports (as bugs, enhancements, and questions) extracted from real open-source projects. You are invited to leverage this dataset for evaluating your classification approaches and compare the achieved results against a proposed baseline approach (based on FastText). Competition overview We created a Colab notebook with detailed information about the competition (provided data, baseline approach, paper submission, paper format, etc.). If you want to participate, you must: Train and tune a multi-label multi-class classifier using the provided training set. The classifier should assign one label to an issue. Evaluate your classifier on the provided test set Write a paper (4 pages max.) describing: The architecture and details of the classifier The procedure used to pre-process the data The procedure used to tune the classifier on the training set The results of your classifier on the test set Additional info.: provide a link to your code/tool with proper documentation on how to run it Submit the paper by emailing the tool competition organizers (see below) Submissions will be evaluated and accepted based on correctness and reproducibility, defined by the following criteria: Clarity and detail of the paper content Availability of the code/tool, released as open-source Correct training/tuning/evaluation of your code/tool on the provided data Clarity of the code documentation The accepted submissions will be published at the workshop proceedings. The submissions will be ranked based on the F1 score achieved by the proposed classifiers on the test set, as indicated in the papers. The submission with the highest F1 score will be the winner of the competition. How to participate? Email your paper to Oscar Chaparro (oscarch@wm.edu) and Rafael Kallis (rk@rafaelkallis.com) by the submission deadline.

NLBSE’22: Tool Competition

Sebastiano Panichella

"An NLP-based Tool for Software Artifacts Analysis" at @ICSME2021.

Sebastiano Panichella

An Empirical Investigation of Relevant Changes and Automation Needs in Modern...

Sebastiano Panichella

Search-Based Software Testing Tool Competition 2021 by Sebastiano Panichella,...

Sebastiano Panichella

More from Sebastiano Panichella (20)

The 3rd Intl. Workshop on NL-based Software Engineering

Diversity-guided Search Exploration for Self-driving Cars Test Generation thr...

SBFT Tool Competition 2024 -- Python Test Case Generation Track

SBFT Tool Competition 2024 - CPS-UAV Test Case Generation Track

Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist

Testing with Fewer Resources: Toward Adaptive Approaches for Cost-effective ...

COSMOS: DevOps for Complex Cyber-physical Systems

Testing and Development Challenges for Complex Cyber-Physical Systems: Insigh...

An Empirical Characterization of Software Bugs in Open-Source Cyber-Physical ...

Automated Identification and Qualitative Characterization of Safety Concerns ...

The 2nd Intl. Workshop on NL-based Software Engineering

The 16th Intl. Workshop on Search-Based and Fuzz Testing

Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Nei...

Exposed! A case study on the vulnerability-proneness of Google Play Apps

Search-based Software Testing (SBST) '22

NL-based Software Engineering (NLBSE) '22

NLBSE’22: Tool Competition

"An NLP-based Tool for Software Artifacts Analysis" at @ICSME2021.

An Empirical Investigation of Relevant Changes and Automation Needs in Modern...

Search-Based Software Testing Tool Competition 2021 by Sebastiano Panichella,...

Recently uploaded

The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf

Senaatti-kiinteistöt

Dreaming Marissa Sánchez Music Video Treatment

nswingard

Proofreading: Basics to Artificial Intelligence Integration. Become a Professional Proofreader and Editor Leveraging Human Expertise and Artificial Intelligence (AI) Technology and Tools. Table of Contents MODULE 1: INTRODUCTION TO PROOFREADING What is proofreading, and how is it different from editing? The importance of proofreading in publishing and communication Types of materials that require proofreading (books, articles, websites, legal documents, etc.) Proofreading marks and symbols MODULE 2: DEVELOPING PROOFREADING SKILLS MODULE 3: PROOFREADING TECHNIQUES Preparing for the proofreading process (setting up the workspace, tools, etc.) Reading techniques (line-by-line, word-by-word, backwards reading) Using proofreading checklists and guidelines Cross-checking against style guides and reference materials Marking up corrections and queries MODULE 4: PROOFREADING DIFFERENT TYPES OF CONTENT Proofreading fiction and non-fiction books Fiction Books: Non-Fiction Books: Proofreading academic and scientific papers Proofreading legal and business documents Proofreading websites and digital content Proofreading marketing and advertising materials MODULE 5: PROOFREADING TOOLS AND RESOURCES MODULE 6: PROOFREADING WORKFLOWS AND BEST PRACTICES MODULE 7: BUILDING A SUCCESSFUL PROOFREADING CAREER MODULE 8: AI TEXT EDITING AND PROOFREADING Benefits and limitations of AI in this field Benefits of AI in Proofreading: Limitations of AI in Proofreading: Examples of AI-powered text editing and proofreading tools Combining AI with Human Expertise AI Ethics and Bias in Text Editing Future Trends and Developments in AI Text Editing This cutting-edge course equips you with the essential skills and tools to become a proofreading pro in the age of AI technology. Designed for writers, editors, content creators, and anyone seeking to elevate their proofreading game, this masterclass combines time-tested proofreading techniques with the latest AI-powered text editing solutions. Through in-depth modules, you will master the art of proofreading, from developing razor-sharp attention to detail to mastering grammar, punctuation, and style guidelines. This masterclass also dives deep into the world of AI text editing. You’ll discover how AI-powered tools can aid in grammar and style checking, context-aware spell checking, consistency management, content optimization, and more. You will learn to seamlessly integrate AI tools into your proofreading workflows, combining the best of human expertise and AI technology for unparalleled results. Finally, this course will help you discover how to harness the power of AI to streamline your proofreading workflows, enhance accuracy, and deliver impeccable content every time, thanks to advanced proofreading techniques, such as line-by-line reading, backward reading, and cross-checking against reference materials, ensuring no error goes unnoticed.

Proofreading- Basics to Artificial Intelligence Integration - Presentation:Sl...

David Celestin

Dreaming Music Video Treatment _ Project & Portfolio III

NhPhngng3

lONG QUESTION ANSWER PAKISTAN STUDIES10.

lodhisaajjda

I had the honour of presenting my reflections on the autobiography of Professor Isaac Folorunso Adewole, titled "Uncommon Grace." As someone deeply invested in documentation and history, I found Professor Adewole's decision to narrate his journey from humble beginnings to occupying one of the highest offices in the land both inspiring and invaluable. In this eloquently written memoir, Professor Adewole provides a comprehensive account of his life, from his ancestral roots to his time as Minister of Health in Nigeria. The unique aspect of this autobiography is that he portrayed himself authentically without taking the help of third-party narratives, which is often seen in accounts of high-ranking officials. His upbringing was greatly influenced by his father's commitment to education. He became a prominent figure in advocating for the rights of the underprivileged through trade unionism. His story is one of unwavering determination, resilience, and faith. His experiences, including both successes and struggles, provide priceless lessons on leadership, perseverance, and the alignment of personal values with public service. While reading "Uncommon Grace," I was struck by the deep leadership lessons that are embedded within its chapters. Professor Adewole stresses the importance of inclusivity, servant leadership, and planning, which are all highly relevant in today's complex world. His commitment to accountability, as well as his primary responsibility as a researcher, serves as a guiding light for aspiring leaders across various disciplines. During his tenure as the Vice Chancellor of the University of Ibadan, he led with visionary leadership and transformative impact. His accomplishments have been meticulously documented in the book, which can serve as a blueprint for rejuvenating institutions and promoting academic excellence. In the latter part of his autobiography, Professor Adewole shares his experiences as a Minister, detailing the challenges he faced while serving the public with integrity and courage. His reflections on the complexities of public service, coupled with his commitment to the well-being of the nation, offer practical insights for policymakers and citizens alike. I have carefully read "Uncommon Grace" and it is more than just a memoir. It is a timeless book that is hard to put down once you start reading. While intellectuals may continue to debate whether uncommon grace was made possible by uncommon preparation or the other way around, I applaud Professor Adewole for sharing his ideas, knowledge, and experience with the public. I highly recommend this book to everyone.

Uncommon Grace The Autobiography of Isaac Folorunso

Kayode Fayemi

SOLID WASTE MANAGEMENT SYSTEM OF FENI PAURASHAVA, BANGLADESH.pdf

Mahamudul Hasan

Digital collaboration with Microsoft 365 as extension of Drupal

Fabian de Rijk

My Presentation "In Your Hands" by Halle Bailey

hlharris

Chiulli_Aurora_Oman_Raffaele_Beowulf.pptx

raffaeleoman

Yesterday in Lagos, I had the honour of delivering a lecture titled “If this Giant Must Walk; Manifesto for a New Nigeria“ at the Inaugural Memorial Lecture of Prince Emeka Obasi, founder and publisher of Business Hallmark and the inspirational figure behind the Public Policy Research and Analysis Centre - promoters of the revered Zik Leadership and Governance Awards. My lecture focused on the challenges of nation-building in Nigeria and how we can approach them in a way that promotes progress and unity. I discussed the many sources of concern about our country’s future prospects, including violent conflicts, revisionist contestations of the Amalgamation Act of 1914, discontent with the Nigerian economy, and dysfunctions in the federal system. Central to my lecture was the call to address these challenges by crafting a new manifesto for Nigeria. This manifesto, I proposed, should champion integrity, compassion, character, competence, and commitment to national unity and progress within a framework of democratic governance and cultural diversity. I firmly believe that by doing so, we can guide Nigeria to stride forward with pride and purpose. I want to thank the Board and Management of the Public Policy Forum for their kind invitation to speak at this important event and for their commitment to promoting public policy research and analysis in Nigeria. My gratitude also to the late Prince Emeka Obasi, a true inspiration and a builder of bridges across divides, for his contributions to the country. My thoughts are with his family and loved ones.

If this Giant Must Walk: A Manifesto for a New Nigeria

Kayode Fayemi

Report Writing Webinar Training

KylaCullinane

Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...

amilabibi1

• For a full set of 390+ questions. Go to https://skillcertpro.com/product/aws-data-engineer-associate-dea-c01-exam-questions/ • SkillCertPro offers detailed explanations to each question which helps to understand the concepts better. • It is recommended to score above 85% in SkillCertPro exams before attempting a real exam. • SkillCertPro updates exam questions every 2 weeks. • You will get life time access and life time free updates • SkillCertPro assures 100% pass guarantee in first attempt.

AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf

SkillCertProExams

ICT role in 21st century education and it's challenges.pdf

Islamia university of Rahim Yar khan campus

Recently uploaded (15)

The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf

Dreaming Marissa Sánchez Music Video Treatment

Proofreading- Basics to Artificial Intelligence Integration - Presentation:Sl...

Dreaming Music Video Treatment _ Project & Portfolio III

lONG QUESTION ANSWER PAKISTAN STUDIES10.

Uncommon Grace The Autobiography of Isaac Folorunso

SOLID WASTE MANAGEMENT SYSTEM OF FENI PAURASHAVA, BANGLADESH.pdf

Digital collaboration with Microsoft 365 as extension of Drupal

My Presentation "In Your Hands" by Halle Bailey

Chiulli_Aurora_Oman_Raffaele_Beowulf.pptx

If this Giant Must Walk: A Manifesto for a New Nigeria

Report Writing Webinar Training

Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...

AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf

ICT role in 21st century education and it's challenges.pdf

A Framework for Multi-source Studies based on Unstructured Data.

1. Makar: A Framework for Multi-source Studies Based on Unstructured Data Mathias Birrer, Pooja Rani, Sebastiano Panichella, Oscar Nierstrasz University of Bern, Switzerland

2. /** Code comments */ Do developers discuss code comments? /**  * TOD O * / public void log(String s) { System.out.println(s) ; } 2

3. Developers use various discussion sources 3 Planning Implementation Releasing Maintenance Testing

4. 4 Challenges Planning Implementation Releasing Maintenance Testing Extracting Processing Querying Exploring

5. Makar 5 Makar: A tool for Multi-source Studies https://github.com/maethub/makar Planning Implementation Releasing Maintenance Testing Extracting Processing Querying Exploring

6. Features Extract data from di ff erent sources  e.g., Stack Over fl ow, Github, Mailing Lists Support mapping and processing the data Explore and perform ad-hoc searches Produce a reproducible dataset 6

7. 7 What do developers ask about comments on Stack overflow? How can I include additional data sources? Demo

8. 8 Future work Extension of data source adapters Development of analysis and visualisation components Facilitation of more multi-source studies

9. Hosted on Github https://github.com/maethub/makar Demo at YouTube https://youtu.be/Yqj1b4Bv-58 Replication Package at Zenodo https://doi.org/10.5281/zenodo.4434822 Contact us 9 https://twitter.com/poojaruhal http://scg.unibe.ch/staff/Pooja-Rani Makar: A Framework for Multi-source Studies Based on Unstructured Data

A Framework for Multi-source Studies based on Unstructured Data.

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to A Framework for Multi-source Studies based on Unstructured Data.

Similar to A Framework for Multi-source Studies based on Unstructured Data. (20)

More from Sebastiano Panichella

More from Sebastiano Panichella (20)

Recently uploaded

Recently uploaded (15)

A Framework for Multi-source Studies based on Unstructured Data.