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Software bugs are the terms we often hear being used by IT professionals. As curious as it sounds, bugs are ideally the informal defects a software contains in the process of building and existence.

In other words, Bug is the name of defects that pop up when the application or software doesn't work properly. It usually happens when the developer mistakenly brings an error in the process of software or application development. Software bugs are usually caught during the testing phase of the software development life cycle. However, some of the bugs may go undetected during the testing phase. Software tester, who is responsible for checking on bugs, holds one of the critical  positions in any organisation that creates and develops software or applications. To become a software tester, join Srishti campus, the best software training institute in Trivandrum. 

How Does A Software Bug Occur? 

If the software bugs don't go through timely identification and checks, there are huge chances of the software getting crashed or locked up. For example, if one of the programs were to add sums together, the bugs would make them subtract, leading to a wrong solution.   

In the health industry, if the software reads errored commands with bugs, the radiation could lead to serious health consequences for the patient.  

Bugs That Made History! 

• During the 1980s, bugs in the code controlling the radiation therapy machine Therac-25 led to patient deaths.
• An on-board guidance computer bug caused a $1.0 billion rocket called Ariane 5 to explode seconds after launch in 1996.
• Mariner I's flight software was corrupted in 1962, causing the rocket to change path from the expected path.
• Many computers crashed when a bug was found in AT&T's software control #4ESS long distance switches in the 1990s.

How Are Software Identified? 

One of the most important phases of the software development life cycle is testing. Ideally, testing should occur after design, and it can occur both during the overall development process and after the design process has been completed. In order to ensure that the software or app operates as intended and that it remains stable during use, robust testing is needed. Bugs are identified and fixed during this testing period.

Identifying software bugs is made easier with a wide range of solutions available to software developers. Defensive programming solutions, for instance, help to identify typographical bugs and the unit testing methods facilitate the developer to test and function every part of the software.

Learning software testing opens up a strong career choice, helping one to ascend in the IT industry. To experience the best software testing training, Srishti Campus opens up opportunities for the best career.

Software Testing is undeniably one of the popular courses to look at while establishing a career in the tech industry. In the changing times of technology and innovation, learn software testing, no more carries the conventional method. Moreover, it brings the scope of making a career successful. If you wish to become a software tester, join Srishti Campus for its effective classes. 

What Exactly is Software Testing

Software testing briefly signifies the process of testing and evaluating the functionalities of software to ensure whether the built one meets the client’s requirements. 

In the consecutive method, the software tester checks if the final product is error-free.

 Generally, there are two software testing methodologies used, namely manual and automation, along with different testing approaches and types. 

Srishti Campus is the best software testing training institute to pursue a career. 

Why is Software Testing Important

Software Testing is an imperative feature and functionality that can’t be missed if the business has to maintain a strong clientele relationship. Learn Software Testing course in Trivandrum. 

Some of the benefits that come under software testing include 

1. Improvement of the quality of the product 
2. Error-free software 
3. Seamless accessibility 
4. Enhanced customer satisfaction 
5. Identifies defects 
6. Increases scalability 
7. Profitable 

How to Become a Software Developer 

To become a software developer is a step-by-step process. In the process of becoming one, you need to keep these things in mind. 

1. Identify your goals and aspiration 
2. Upskill with a programming language 
3. Develop your expertise or technology niche 
4. Build a data or portfolio of your work and practices 
5. Develop technical and non technical skills 
6. Join courses 

To enhance all the above-mentioned skills, join Srishti campus for the best software testing training in Trivandrum

Santhom Malankara Arts and Science College attended a day orientation programme at Srishti Campus, the best software training centre in Trivandrum. A strength of thirty-four students along with two faculty members of the college participated in an engaging and interesting session on professionalism and soft skill essentials. 

The final-year B.com students were given a brief idea about the immense career opportunities available in the IT sector, citing the relevance of non-IT jobs in the industry. 

The four-hour-long session briefed the students on professionalism, things to take care of during an interview, and factors needed in a corporate domain. 

Srishti Campus has been providing software training and life skill training to students for more than fifteen years. Being the best software training centre in India, Srishti Campus has also carved its niche in multiple training domains necessary for the corporate community.  

If IT is your dream, join the Srishti Campus to get trained with industry-demand technology from the best software training centre in Trivandrum. 

In software technologies, application stack development has taken an important juncture. Application stack development has undergone one of the greatest changes in the last decade. The web pages we see are made with frontend and back-end, which are developed by the software developers. To learn in-depth about the development areas of the web application, joining the best software training centre is pivotal. 

The front end comprises the visual data you see as a user, whereas the back end comprises server-side programming and the database. On top of it, the technology stack consists of a set of tools and frameworks to make good software that performs efficiently. As far as frontend frameworks go, MEAN uses Angular, while MERN uses React Js. For enterprise-level architectures, MEAN is more popular than MERN for smaller applications.

Learning MEA and MERN helps to have a successful career in IT and the best React training institute helps in the same. 

Here is a quick look at what is better for 2023! 

A Quick Look At  MEAN Stack 

• MongoDB is used as the database
• Express.js is used as the backend framework
• Angular is used as the frontend framework
• Node.js is used as the runtime environment

Advantages Of Using MEAN Stack 

• Angular provides strong typing and robust tools for building large-scale applications
• MongoDB is highly scalable and flexible
• Node.js provides high performance and scalability
• Mean stack is a complete solution for building full-stack web applications

Disadvantages Of Using Mean Stack 

• Angular has a steep learning curve for beginners
• MongoDB is less suitable for highly transactional systems
• Mean stack requires knowledge of both Angular and Node.js, which can be challenging

A Quick Look At MERN Stack

• MongoDB as the database
• Express.js as the backend framework
• React as the frontend framework
• Node.js as the runtime environment

Advantages Of MERN Stack 

• React is highly flexible and efficient for building user interfaces
• MongoDB is highly scalable and flexible
• Node.js provides high performance and scalability
• Mern stack is a complete solution for building full-stack web applications

Disadvantages of MERN Stack 

• React can be complex for beginners
• MongoDB is less suitable for highly transactional systems
• Mern stack requires knowledge of both React and Node.js, which can be challenging

In summary, Mean and Mern are viable options for building full-stack web applications in 2023. The choice between the two depends on your specific needs and preferences, your team’s experience and your skill set. To become an expert in Mean and Mern full stack, Join Srishti Campus, the best React training institute in India, for the best experience in learning the language.

Python is a highly demanding language, and its soaring popularity has made it even more desirable in the programming world.  Speaking of the numbers, there are ideally 8.2 million Python users, according to SlashData. Adding up, if you expect to become a data scientist, Python unfurls more opportunities in your career. If you are looking to start a career in IT, choose Srishti Campus for the best Python training centre in Trivandrum, Kerala. 

To bolster your career as a data scientist, here are the top five Python libraries you need to check! 

TensorFlow: Specifically used for high performance, TensorFlow facilitates numerical computations with nearly 35,000 comments. It also has an excellent and responsive community with more than 1000+ contributors. It is a framework used solely for designing, running, and computing involving tensors.  TensorFlow is ideally the perfect fit for applications requiring speech and image recognition, time-series analysis, and video detection. 

NumPy: A powerful N-dimensional array object is included in NumPy, the Python library for numerical computation. GitHub has around 18,000 comments and 700 active contributors. It provides high-performance multidimensional objects called arrays as well as tools for working with them. As well as providing multidimensional arrays, NumPy also provides functions and operators that operate efficiently on these arrays. 

Matplotlib: With extremely interesting and intense visualisations, Matplotlib has a plotting library for Python consisting of around 26,000 comments on GitHub. Along with that, it also has a vibrant community of around 700 contributors. It is extensively used for data visualisation due to the graphs and plots it produces. Furthermore, it provides an object-oriented API for embedding those plots into applications. 

SciPy: Scientific Python or SciPy is yet another free and open source of Python Library exclusive for data scientists and science. It is solely used for high-level computations. On GitHub, SciPy has around 19,000 comments and about 600 contributors. As it extends NumPy, it is exclusively used for scientific and technical calculations. 

Keras: Keras is yet another famous library used a lot for deep learning and neural network modules. It supports and assists TensorFlow and Theano at the backends, making it the best choice if one wants to use something other than the former. The library also provides an elaborate prelabeled dataset which can be used to directly import and load. 

These libraries not only strengthen the Python framework’s use and applications but also help you to become well-versed in this much demanded software language. To know and learn more about Python language, enroll to one of the best software training institutes in India and unfurl different scopes of learning Python language.