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Common Challenges when Adapting Agile Project Management

In today’s software development environment, requirements has been changing during the product development cycle so that they can respond to changes from customers. Therefore, software development becomes a challenge, adapting changed requirements when development is going on. In the mid 90’s, agile development techniques for software became available. This discipline was strongly influenced by the Japanese industry best practices, mainly the lean manufacturing principles implemented by Honda and Toyota as well as the Knowledge Management strategies suggested by Takeuchi and Nonaka (2004) and Senge (1990).

Agile software development bases itself on an iterative and incremental approach. Software developers work on small modules, and respond to users’ changed requirements rather than follow a specific or predetermined plan of action. The basic design is simple, and changes are made as work progresses. Agile methods stress two concepts: the unforgiving honesty of working code and the effectiveness of people working together with goodwill. Working code tells the developers and sponsors what they really have in front of them—as opposed to promises as to what they will have in front of them. The working code can be shipped, modified, or scrapped, but it is always real.

Agile software management methodologies are gaining popularity rapidly nowadays. This popularity comes from its flexibility to change. This approach has proved to be effective at solving many problems and at forging attractive work environments in many organizations. While it is not suited for everyone, it is suited for many. If your company will use Agile methodologies adopting to it another problem. This article will give you information about difficulties, challenges, issues with a categorical manner and how to avoid them.

Getting an organization to switch to agile processes takes a lot of time and patience. How to adapt Agile methodology it is with the education. Experienced people bring practical knowledge from other situations and environments that can be helpful in avoiding pitfalls, in recommending tips and techniques for executing the project, and in coaching or supporting individual team members.

There is more to going agile than adopting an agile methodology for a project. You and your organization should consider carefully why you need to be agile, how agile you really need to be, and what kind of projects need to be agile. If adopting an agile methodology is not right for all projects or for the organization, then individual agile practices should be adopted in projects to reach experience and management buy-in can help management remove the negative impact of any issues, problems or challenges. Going agile requires executive, senior management, and middle management awareness and buy-in that something will change in the project management practices. They need to understand the benefits of the change as well as the details of how the change will affect operational aspects of the business. Furthermore, they need to understand what will be expected from them and what should change in their behavior. Many cultural and communication problems can be avoided or at least mitigated by aligning with all levels of management before adopting an agile methodology. Of failed Agile implementations, 63% of respondents in one study blamed the clash between their business’s culture and Agile’s business philosophy.

Here are the type of challenges:
The problems include issues with (1) communicating; (2) managing
day-to-day operational problems; (3) gaining buy-in from management, customers, and team
members; (4) changing culture and mindset; and (5) gaining experience and making it work. Of course, some of the issues and challenges are unique and occur due to differences and idiosyncrasies in the organization or the project.

The problems include issues with communicating, managing day-to-day operational problems, gaining buy-in from management, customers, and team members, changing culture and mindset, and gaining experience and making it work. Of course, some of the issues and challenges are unique and occur due to differences and idiosyncrasies in the organization or the project.

Imposing agile principles on process-centric, non-collaborative, optimizing organizations is likely to fail. Imposing a change embracing process on sedate project teams may not be reasonable. Attempting to get close user collaboration with organizations that have little time to spend with developers won’t work. The biggest limitation of agile methodologies is how they handle larger teams. Agile methodologies rely heavily on communication, so large teams make it difficult to use agile methods. There is a clear inverse relationship between agile techniques and project complexity. Agile development is more difficult with larger teams. The average project has only nine people, well within the reach of the most basic agile processes.

Nevertheless, it is interesting to occasionally find successful agile projects with 120 or even 250 people. Agile development excels in exploratory problem domains— extreme, complex, high-change projects—and operates best in a people-centered, collaborative, organizational culture. This approach has proved to be effective at solving many problems and at forging attractive work environments in many organizations. While it is not suited for everyone, it is suited for many. They state that “project success is measured not just by completion of the scope of work to time, cost, and quality, but also by performance of the projects outputs, outcomes, and impacts.

 Inadequate experience with agile methods

  • Little understanding of the required broader organizational change
  • Company philosophy or culture at odds with agile values

To build an effective team, Agile project managers must constantly practice and reinforce effective communication. Getting feedback early and often is a cornerstone of Agile project management, so being an effective communicator is important for management and individuals to ensure the customer is getting exactly what is needed – nothing more and nothing less. Getting a deliverable in front of a customer early helps teams learn more about purpose behind what they are developing so they can do it better.

•             Educate and Align with the Management Team

•             How to adapt Agile methodology it is with the education.

Going agile requires executive, senior management, and middle management awareness and buy-in that something will change in the project management practices. They need to understand the benefits of the change as well as the details of how the change will affect operational aspects of the business. Furthermore, they need to understand what will be expected from them and what should change in their behavior. Many cultural and communication problems can be avoided or at least mitigated by aligning with all levels of management before adopting an agile methodology.

  • Hire external consultants:

Experienced people bring practical knowledge from other situations and environments that can be helpful in avoiding pitfalls, in recommending tips and techniques for executing the project, and in coaching or supporting individual team members. While having many team members with experience is ideal, the Agile Coach, Product Owner, and Agile Tester are three roles where experience is most appreciated, as those are the topics where the most issues surface.

There is more to “going agile” than adopting an agile methodology for a project. You and your organization should consider carefully why you need to be agile, how agile you really need to be, and what kind of projects need to be agile. After answering these questions, you can start discussion and planning to decide the right agile methodology. If adopting an agile methodology is not right for all projects or for the organization, then individual agile practices should be adopted in projects to reach a desirable level of agility. Day-to-day operational problems will occur. Having team members with experience and management buy-in can help management mitigate the negative impact of any issues, problems, or challenges.

This is a literature review. I mentioned my references below:

References:

  1. https://www.researchgate.net/publication/230634624_Scrum_agile_product_development_method_-literature_review_analysis_and_classification
  2. https://www.academia.edu/7999605/Agile_Software_Development_The_People_Factor
  3. http://www.umsl.edu/~sauterv/analysis/challenges_of_migrating_to_agile_methodologies.pdf
  4. https://www.altexsoft.com/whitepapers/agile-project-management-best-practices-and-methodologies/
  5. http://www.dsc.ufcg.edu.br/~garcia/cursos/ger_processos/seminarios/Crystal/Agile%20Software%20Development%202%20The%20People%20Factor.htm
  6. https://www.pmi.org/learning/library/agile-problems-challenges-failures-5869
  7. https://www.business2community.com/marketing/15-incredible-agile-project-management-statistics-2018-01939694
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Why Python so popular now?

I would like you to tell about why Python programming language is becoming more popular nowadays. Python language is invented by Guido van Rossum in 1991. Its main target was code readability. From 2003 Python programming language entered the most popular programming languages and this popularity increasing linearly. You willl see popularity of a programming language index graph between 2003–2013. This graph is created by Google Trends data which is based on how often language tutorials are searched on Google. Guido van Russom worked at Google between 2005–2012. After Google he started to work in Dropbox now he is working at Dropbox. While he was working at Google, Google became more interested in Python language and started to use in some projects and became an official language. Some of projects listed on https://quintagroup.com/cms/python/google. Google also has free Python class in https://developers.google.com/edu/python.

And now in 2019 Popularity of Programming Language chart is below. Python is the first by share nearly %30 and gained +4.2 popularity from previous year.

In this site (http://pypl.github.io/PYPL.html) it is shown that Python passed Java and grew by %19 percentage.

Another indicator of popular programming language TIOBE index results showed below. The TIOBE Programming Community index is an indicator of the popularity of programming languages. The index is updated once a month. The ratings are based on the number of skilled engineers world-wide, courses and third party vendors. Popular search engines such as Google, Bing, Yahoo!, Wikipedia, Amazon, YouTube and Baidu are used to calculate the ratings. It is important to note that the TIOBE index is not about the best programming language or the language in which most lines of code have been written. Python placed 3rd and gain 1 step from previous month.

Up to this point, I showed the increase of Python programming language let’s start to identify why Python becoming more popular. Python is very easy to learn because its syntax very close to English language. Python is a dynamic language that has no strict rules. That’s why it is very enjoyable for who is learning programming for the first time. Fun is a great motivator. There is a fun fact about Python that its name not coming from snake it is coming from an English comedy group Monty Python (http://www.montypython.com/pythons). According to research in 2014 July, Python is currently the most popular language for teaching introductory computer science courses at top-ranked U.S. departments. Specifically, eight of the top 10 CS departments (80%), and 27 of the top 39 (69%), teach Python in introductory CS0 or CS1 courses. Another reason is for becoming popular Python programming language is so versatile. Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Python is second language after R in data mining. Python has 5th most crowded developer community, in GitHub 4th most used programming language. Python has 3rd most crowded group in In Meetup.com. Community is another key factor for interest growth.
Large organizations that make use of Python include Wikipedia, Google, Yahoo!, CERN, and some smaller entities like ILM, and ITA. The social news networking site Reddit is written entirely in Python.

Applications for Python
Python is used in many application domains. Here’s a sampling.
The Python Package Index lists thousands of third party modules for Python.

Web and Internet Development
Python offers many choices for web development:
Frameworks such as Django and Pyramid.
Micro-frameworks such as Flask and Bottle.
Advanced content management systems such as Plone and django CMS.

Python’s standard library supports many Internet protocols:
HTML and XML
JSON
E-mail processing.
Support for FTP, IMAP, and other Internet protocols.
Easy-to-use socket interface.

And the Package Index has yet more libraries:
Requests, a powerful HTTP client library.
BeautifulSoup, an HTML parser that can handle all sorts of oddball HTML.
Feedparser for parsing RSS/Atom feeds.
Paramiko, implementing the SSH2 protocol.
Twisted Python, a framework for asynchronous network programming.

Scientific and Numeric:
Python is widely used in scientific and numeric computing:
SciPy is a collection of packages for mathematics, science, and engineering.
Pandas is a data analysis and modeling library.
IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing.
The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials.

References:
https://cacm.acm.org/blogs/blog-cacm/176450- python-is- now-the- most-popular-introductory-teaching- language-at- top-u- s-universities/fulltext
http://pypl.github.io/PYPL.html
https://www.tiobe.com/tiobe-index/
https://www.monitis.com/blog/why-python- is-becoming- so-popular/
http://dataconomy.com/2015/01/python-packages- for-data- mining/