Google Play, Apple App Store and Windows Phone Store are well known distribution platforms where users can download mobile apps, rate them and write review comments about the apps they are using. Previous research studies demonstrated that these reviews contain important information to help developers improve their apps. However, analyzing reviews is challenging due to the large amount of reviews posted every day, the unstructured nature of reviews and its varying quality. In this demo we present
ARdoc, a tool which combines three techniques: (1) Natural Language Parsing,(2) Text Analysis and (3) Sentiment Analysis to automatically classify useful feedback contained in app reviews important for performing software maintenance and evolution tasks. Our quantitative and qualitative analysis (involving mobile professional developers) demonstrates that ARdoc correctly classifies feedback useful for maintenance perspectives in user reviews with high precision (ranging between84% and 89%), recall (ranging between 84% and 89%), and an F-Measure (ranging between 84% and 89%). While evaluating our tool developers of our study confirmed the use-fulness of ARdoc in extracting important maintenance tasks for their mobile applications.
An Empirical Investigation on Documentation Usage Patterns in Maintenance TasksSebastiano Panichella
When developers perform a software maintenance
task, they need to identify artifacts—e.g., classes or more specifically
methods—that need to be modified. To this aim, they
can browse various kind of artifacts, for example use case
descriptions, UML diagrams, or source code.
This paper reports the results of a study—conducted with 33
participants— aimed at investigating (i) to what extent developers
use different kinds of documentation when identifying artifacts
to be changed, and (ii) whether they follow specific navigation
patterns among different kinds of artifacts.
Results indicate that, although developers spent a conspicuous
proportion of the available time by focusing on source code,
they browse back and forth between source code and either
static (class) or dynamic (sequence) diagrams. Less frequently,
developers—especially more experienced ones—follow an “integrated”
approach by using different kinds of artifacts.
What Would Users Change in My App? Summarizing App Reviews for Recommending ...Sebastiano Panichella
Mobile app developers constantly monitor feedback in user reviews with the goal of improving their mobile apps and better
meeting user expectations. Thus, automated approaches have
been proposed in literature with the aim of reducing the effort
required for analyzing feedback contained in user reviews via
automatic classication/prioritization according to specific
topics. In this paper, we introduce SURF (Summarizer of
User Reviews Feedback), a novel approach to condense the
enormous amount of information that developers of popular
apps have to manage due to user feedback received on a
daily basis. SURF relies on a conceptual model for capturing
user needs useful for developers performing maintenance and
evolution tasks. Then it uses sophisticated summarisation
techniques for summarizing thousands of reviews and generating
an interactive, structured and condensed agenda of
recommended software changes. We performed an end-to-end
evaluation of SURF on user reviews of 17 mobile apps (5 of
them developed by Sony Mobile), involving 23 developers
and researchers in total. Results demonstrate high accuracy
of SURF in summarizing reviews and the usefulness of the
recommended changes. In evaluating our approach we found
that SURF helps developers in better understanding user
needs, substantially reducing the time required by developers
compared to manually analyzing user (change) requests and
planning future software changes.
Google Play, Apple App Store and Windows Phone Store are well known distribution platforms where users can download mobile apps, rate them and write review comments about the apps they are using. Previous research studies demonstrated that these reviews contain important information to help developers improve their apps. However, analyzing reviews is challenging due to the large amount of reviews posted every day, the unstructured nature of reviews and its varying quality. In this demo we present
ARdoc, a tool which combines three techniques: (1) Natural Language Parsing,(2) Text Analysis and (3) Sentiment Analysis to automatically classify useful feedback contained in app reviews important for performing software maintenance and evolution tasks. Our quantitative and qualitative analysis (involving mobile professional developers) demonstrates that ARdoc correctly classifies feedback useful for maintenance perspectives in user reviews with high precision (ranging between84% and 89%), recall (ranging between 84% and 89%), and an F-Measure (ranging between 84% and 89%). While evaluating our tool developers of our study confirmed the use-fulness of ARdoc in extracting important maintenance tasks for their mobile applications.
An Empirical Investigation on Documentation Usage Patterns in Maintenance TasksSebastiano Panichella
When developers perform a software maintenance
task, they need to identify artifacts—e.g., classes or more specifically
methods—that need to be modified. To this aim, they
can browse various kind of artifacts, for example use case
descriptions, UML diagrams, or source code.
This paper reports the results of a study—conducted with 33
participants— aimed at investigating (i) to what extent developers
use different kinds of documentation when identifying artifacts
to be changed, and (ii) whether they follow specific navigation
patterns among different kinds of artifacts.
Results indicate that, although developers spent a conspicuous
proportion of the available time by focusing on source code,
they browse back and forth between source code and either
static (class) or dynamic (sequence) diagrams. Less frequently,
developers—especially more experienced ones—follow an “integrated”
approach by using different kinds of artifacts.
What Would Users Change in My App? Summarizing App Reviews for Recommending ...Sebastiano Panichella
Mobile app developers constantly monitor feedback in user reviews with the goal of improving their mobile apps and better
meeting user expectations. Thus, automated approaches have
been proposed in literature with the aim of reducing the effort
required for analyzing feedback contained in user reviews via
automatic classication/prioritization according to specific
topics. In this paper, we introduce SURF (Summarizer of
User Reviews Feedback), a novel approach to condense the
enormous amount of information that developers of popular
apps have to manage due to user feedback received on a
daily basis. SURF relies on a conceptual model for capturing
user needs useful for developers performing maintenance and
evolution tasks. Then it uses sophisticated summarisation
techniques for summarizing thousands of reviews and generating
an interactive, structured and condensed agenda of
recommended software changes. We performed an end-to-end
evaluation of SURF on user reviews of 17 mobile apps (5 of
them developed by Sony Mobile), involving 23 developers
and researchers in total. Results demonstrate high accuracy
of SURF in summarizing reviews and the usefulness of the
recommended changes. In evaluating our approach we found
that SURF helps developers in better understanding user
needs, substantially reducing the time required by developers
compared to manually analyzing user (change) requests and
planning future software changes.
The Impact of Test Case Summaries on Bug Fixing Performance: An Empirical Inv...Sebastiano Panichella
Automated test generation tools have been widely investigated
with the goal of reducing the cost of testing activities.
However, generated tests have been shown not to help developers in detecting and finding more bugs even though
they reach higher structural coverage compared to manual
testing. The main reason is that generated tests are di-
cult to understand and maintain. Our paper proposes an
approach, coined TestDescriber, which automatically generates
test case summaries of the portion of code exercised by
each individual test, thereby improving understandability.
We argue that this approach can complement the current
techniques around automated unit test generation or search based techniques designed to generate a possibly minimal set
of test cases. In evaluating our approach we found that (1)
developers find twice as many bugs, and (2) test case summaries
significantly improve the comprehensibility of test
cases, which is considered particularly useful by developers.
В доповіді описано те, як проводити перформенс тестування веб-систем, на що необхідно звернути увагу, а також як коректно представити результати вашої роботи. Мінімум теорії, максимум прикладів з особистого досвіду. В доповіді будуть освітлені особливості перформенс тестування в аутсорсингових проектах
The Impact of Test Case Summaries on Bug Fixing Performance: An Empirical Inv...Sebastiano Panichella
Automated test generation tools have been widely investigated
with the goal of reducing the cost of testing activities.
However, generated tests have been shown not to help developers in detecting and finding more bugs even though
they reach higher structural coverage compared to manual
testing. The main reason is that generated tests are di-
cult to understand and maintain. Our paper proposes an
approach, coined TestDescriber, which automatically generates
test case summaries of the portion of code exercised by
each individual test, thereby improving understandability.
We argue that this approach can complement the current
techniques around automated unit test generation or search based techniques designed to generate a possibly minimal set
of test cases. In evaluating our approach we found that (1)
developers find twice as many bugs, and (2) test case summaries
significantly improve the comprehensibility of test
cases, which is considered particularly useful by developers.
В доповіді описано те, як проводити перформенс тестування веб-систем, на що необхідно звернути увагу, а також як коректно представити результати вашої роботи. Мінімум теорії, максимум прикладів з особистого досвіду. В доповіді будуть освітлені особливості перформенс тестування в аутсорсингових проектах
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.