We found 23 results that contain "software"

Posted on: #iteachmsu
Incorporating Technologies
Friday, May 19, 2023
Bugzilla new
Bugzilla is an open-source tool used to track bugs and issues of a project or a software. It helps the developers and other stakeholders to keep track of outstanding problems with the product.

It was written by Terry Weissman in TCL programming language in 1998.

Later, Bugzilla was written in PERL and it uses the MYSQL database.

Bugzilla can be used as a Test Management tool since it can be easily linked with other test case management tools like Quality Centre, ALM, Testlink, etc.

Bugzilla provides a powerful, easy to use solution to configuration management and replication problems.

It can dramatically increase the productivity and accountability of an individual by providing a documented workflow and positive feedback for good performance.
Authored by: Vijay - 934
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Posted on 1: #iteachmsu
Bugzilla new
Bugzilla is an open-source tool used to track bugs and issues of a project or a software. It helps the developers and other stakeholders to keep track of outstanding problems with the product.

It was written by Terry Weissman in TCL programming language in 1998.

Later, Bugzilla was written in PERL and it uses the MYSQL database.

Bugzilla can be used as a Test Management tool since it can be easily linked with other test case management tools like Quality Centre, ALM, Testlink, etc.

Bugzilla provides a powerful, easy to use solution to configuration management and replication problems.

It can dramatically increase the productivity and accountability of an individual by providing a documented workflow and positive feedback for good performance.
INCORPORATING TECHNOLOGIES
Authored by: Vijay - 934
Friday, May 19, 2023
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Posted on: #iteachmsu
Wednesday, Dec 6, 2023
NLP tasks
Human language is filled with ambiguities that make it incredibly difficult to write software that accurately determines the intended meaning of text or voice data. Homonyms, homophones, sarcasm, idioms, metaphors, grammar and usage exceptions, variations in sentence structure—these just a few of the irregularities of human language that take humans years to learn, https://byjus.com/biology/flower/ but that programmers must teach natural language-driven applications to recognize and understand accurately from the start, if those applications are going to be useful.
https://byjus.com/biology/flower/ https://byjus.com/biology/flower/

Several NLP tasks break down human text and voice data in ways that help the computer make sense of what it's ingesting. Some of these tasks include the following:

Speech recognition, also called speech-to-text, is the task of reliably converting voice data into text data. Speech recognition is required for any application that follows voice commands or answers spoken questions. What makes speech recognition especially challenging is the way people talk—quickly, slurring words together, with varying emphasis and intonation, in different accents, and often using incorrect grammar.
Part of speech tagging, also called grammatical tagging, is the process of determining the part of speech of a particular word or piece of text based on its use and context. Part of speech identifies ‘make’ as a verb in ‘I can make a paper plane,’ and as a noun in ‘What make of car do you own?’
Word sense disambiguation is the selection of the meaning of a word with multiple meanings through a process of semantic analysis that determine the word that makes the most sense in the given context. For example, word sense disambiguation helps distinguish the meaning of the verb 'make' in ‘make the grade’ (achieve) vs. ‘make a bet’ (place).
Named entity recognition, or NEM, identifies words or phrases as useful entities. NEM identifies ‘Kentucky’ as a location or ‘Fred’ as a man's name.
Co-reference resolution is the task of identifying if and when two words refer to the same entity. The most common example is determining the person or object to which a certain pronoun refers (e.g., ‘she’ = ‘Mary’), but it can also involve identifying a metaphor or an idiom in the text (e.g., an instance in which 'bear' isn't an animal but a large hairy person).
Sentiment analysis attempts to extract subjective qualities—attitudes, emotions, sarcasm, confusion, suspicion—from text.
Natural language generation is sometimes described as the opposite of speech recognition or speech-to-text; it's the task of putting structured information into human language.
Authored by: Super Admin - R
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Posted on 1: #iteachmsu
NLP tasks
Human language is filled with ambiguities that make it incredibly difficult to write software that accurately determines the intended meaning of text or voice data. Homonyms, homophones, sarcasm, idioms, metaphors, grammar and usage exceptions, variations in sentence structure—these just a few of the irregularities of human language that take humans years to learn, https://byjus.com/biology/flower/ but that programmers must teach natural language-driven applications to recognize and understand accurately from the start, if those applications are going to be useful.
https://byjus.com/biology/flower/ https://byjus.com/biology/flower/

Several NLP tasks break down human text and voice data in ways that help the computer make sense of what it's ingesting. Some of these tasks include the following:

Speech recognition, also called speech-to-text, is the task of reliably converting voice data into text data. Speech recognition is required for any application that follows voice commands or answers spoken questions. What makes speech recognition especially challenging is the way people talk—quickly, slurring words together, with varying emphasis and intonation, in different accents, and often using incorrect grammar.
Part of speech tagging, also called grammatical tagging, is the process of determining the part of speech of a particular word or piece of text based on its use and context. Part of speech identifies ‘make’ as a verb in ‘I can make a paper plane,’ and as a noun in ‘What make of car do you own?’
Word sense disambiguation is the selection of the meaning of a word with multiple meanings through a process of semantic analysis that determine the word that makes the most sense in the given context. For example, word sense disambiguation helps distinguish the meaning of the verb 'make' in ‘make the grade’ (achieve) vs. ‘make a bet’ (place).
Named entity recognition, or NEM, identifies words or phrases as useful entities. NEM identifies ‘Kentucky’ as a location or ‘Fred’ as a man's name.
Co-reference resolution is the task of identifying if and when two words refer to the same entity. The most common example is determining the person or object to which a certain pronoun refers (e.g., ‘she’ = ‘Mary’), but it can also involve identifying a metaphor or an idiom in the text (e.g., an instance in which 'bear' isn't an animal but a large hairy person).
Sentiment analysis attempts to extract subjective qualities—attitudes, emotions, sarcasm, confusion, suspicion—from text.
Natural language generation is sometimes described as the opposite of speech recognition or speech-to-text; it's the task of putting structured information into human language.
Authored by: Super Admin - R
Wednesday, Dec 6, 2023
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Posted on: #iteachmsu
Justice and Belonging
Monday, Mar 3, 2025
Introduction of DBMS (Database Management System)
A Database Management System (DBMS) is a software solution designed to efficiently manage, organize, and retrieve data in a structured manner. It serves as a critical component in modern computing, enabling organizations to store, manipulate, and secure their data effectively. From small applications to enterprise systems, DBMS plays a vital role in supporting data-driven decision-making and operational efficiency.

In this article, we will explain the key concepts, benefits, and types of Database Management Systems (DBMS). We’ll also cover how DBMS solutions work, why they’re important for modern applications, and what features they offer to ensure data integrity, security, and efficient retrieval.

What is a DBMS?
A DBMS is a system that allows users to create, modify, and query databases while ensuring data integrity, security, and efficient data access. Unlike traditional file systems, DBMS minimizes data redundancy, prevents inconsistencies, and simplifies data management with features like concurrent access and backup mechanisms. It organizes data into tables, views, schemas, and reports, providing a structured approach to data management.

Example:
A university database can store and manage student information, faculty records, and administrative data, allowing seamless retrieval, insertion, and deletion of information as required.
Authored by: Shravya Mhetre
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Posted on 1: #iteachmsu
Introduction of DBMS (Database Management System)
A Database Management System (DBMS) is a software solution designed to efficiently manage, organize, and retrieve data in a structured manner. It serves as a critical component in modern computing, enabling organizations to store, manipulate, and secure their data effectively. From small applications to enterprise systems, DBMS plays a vital role in supporting data-driven decision-making and operational efficiency.

In this article, we will explain the key concepts, benefits, and types of Database Management Systems (DBMS). We’ll also cover how DBMS solutions work, why they’re important for modern applications, and what features they offer to ensure data integrity, security, and efficient retrieval.

What is a DBMS?
A DBMS is a system that allows users to create, modify, and query databases while ensuring data integrity, security, and efficient data access. Unlike traditional file systems, DBMS minimizes data redundancy, prevents inconsistencies, and simplifies data management with features like concurrent access and backup mechanisms. It organizes data into tables, views, schemas, and reports, providing a structured approach to data management.

Example:
A university database can store and manage student information, faculty records, and administrative data, allowing seamless retrieval, insertion, and deletion of information as required.
JUSTICE AND BELONGING
Authored by: Shravya Mhetre
Monday, Mar 3, 2025
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Posted on: #iteachmsu
Assessing Learning
Tuesday, Jul 29, 2025
Best API Testing Tools for 2025 -- edited
Edited --- API testing is a procedure developers use to evaluate APIs' functionality, efficacy, and security. Before releasing their software, the results of API testing will inform developers if problem fixes and patches are required. They accomplish this through a simulation that entails sending queries that would reach the API when it is accessible to its users, regardless of whether it is authentic. They observe the API to determine how it will react to this volume of queries. If the results are positive, integrating the API is secure. If not, they will be required to fix it.

Choosing one of the best API testing tools is crucial to ensure your tests are successful and efficient. These tools are key for examining variables like scalability, convenience of use, cost-effectiveness, and compatibility with your existing systems. It’s also important to evaluate the available resources for development and maintenance. Based on these criteria, you may select a tool that best suits your requirements and allows you to write thorough API tests.
Authored by: Shravya Mhetre
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Posted on 1: #iteachmsu
Best API Testing Tools for 2025 -- edited
Edited --- API testing is a procedure developers use to evaluate APIs' functionality, efficacy, and security. Before releasing their software, the results of API testing will inform developers if problem fixes and patches are required. They accomplish this through a simulation that entails sending queries that would reach the API when it is accessible to its users, regardless of whether it is authentic. They observe the API to determine how it will react to this volume of queries. If the results are positive, integrating the API is secure. If not, they will be required to fix it.

Choosing one of the best API testing tools is crucial to ensure your tests are successful and efficient. These tools are key for examining variables like scalability, convenience of use, cost-effectiveness, and compatibility with your existing systems. It’s also important to evaluate the available resources for development and maintenance. Based on these criteria, you may select a tool that best suits your requirements and allows you to write thorough API tests.
ASSESSING LEARNING
Authored by: Shravya Mhetre
Tuesday, Jul 29, 2025
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Posted on: #iteachmsu
Incorporating Technologies
Tuesday, Jul 29, 2025
By super admin: History of Agile
In 1957, people started figuring out new ways to build computer programs. They wanted to make the process better over time, so they came up with iterative and incremental methods.
In the 1970s, people started using adaptive software development and evolutionary project management. This means they were adjusting and evolving how they built software.
In 1990s, there was a big change. Some people didn't like the strict and super-planned ways of doing things in software development. They called these old ways "waterfall." So, in response, lighter and more flexible methods showed up.
Authored by: Chathuri Super admin..
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Posted on 1: #iteachmsu
By super admin: History of Agile
In 1957, people started figuring out new ways to build computer programs. They wanted to make the process better over time, so they came up with iterative and incremental methods.
In the 1970s, people started using adaptive software development and evolutionary project management. This means they were adjusting and evolving how they built software.
In 1990s, there was a big change. Some people didn't like the strict and super-planned ways of doing things in software development. They called these old ways "waterfall." So, in response, lighter and more flexible methods showed up.
INCORPORATING TECHNOLOGIES
Authored by: Chathuri Super admin..
Tuesday, Jul 29, 2025
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Posted on: #iteachmsu
Pedagogical Design
Tuesday, Jul 29, 2025
By super admin: What is the Agile Manifesto Software Development? -- edited
What is the Agile Manifesto Software Development?
Authored by: Chathuri Super admin..
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Posted on 1: #iteachmsu
By super admin: What is the Agile Manifesto Software Development? -- edited
What is the Agile Manifesto Software Development?
PEDAGOGICAL DESIGN
Authored by: Chathuri Super admin..
Tuesday, Jul 29, 2025
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Posted on: What are the 12 Agile Principles?
Disciplinary Content
Tuesday, Jul 29, 2025
The Agile Alliance defines 12 lightness principles for those who need to attain agility: Our highes
Edited: New: The Agile Alliance defines 12 lightness principles for those who need to attain agility:

Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
Authored by: Chathuri Super admin..
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Posted on 1: What are the 12 Agile Principles?
The Agile Alliance defines 12 lightness principles for those who need to attain agility: Our highes
Edited: New: The Agile Alliance defines 12 lightness principles for those who need to attain agility:

Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
DISCIPLINARY CONTENT
Authored by: Chathuri Super admin..
Tuesday, Jul 29, 2025
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