Optimized Quality Model for Agile Development: Extreme Programming (XP) as a Case Scenario

The attributes of quality are that it is complex taxonomy, it cannot be weighted or measured but can be felt, discussed and judged. Early assessment and verification of functional attributes (requirements) are supported well by renowned standards while the nonfunctional attributes (requirements) are not. Agile software development methodologies are of high repute as the most popular and effective approaches to the development of software systems. Early requirements verification methodologies in Agile Software Engineering are well focused in this way and hence mainly researched have achieved in functional requirements. For early quality aspects (attributes) in order to bring quality in our design and hence development process, it is very important to consider nonfunctional requirements quality metrics (attributes). A comprehensive work is also being done to propose and validate (using iThink) different quality models which could make sure the quality of agile software products being developed, which will be though available in detail in the literature review (section II). Yet a generic and standard quality metrics model is missing in this for the agile software practices in all, which off course is further needed to make sure that the agile product being developed, will surely accomplish quality characteristics as decided by the stakeholders as well as the mentioned quality standard they are addressing. In this work we have proposed a quality metrics model that fulfills the desired quality attributes exist in ISO/IEC (Quality standards, ISO 9126, ISO 25000) in early requirements, we validated this by performing simulations in iThink technology that also ensures that the quality of item being produced to meet the described criteria.

@article{Tabassum2017,
  title     = {Optimized Quality Model for Agile Development: Extreme Programming (XP) as a Case Scenario},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {4},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Atika Tabassum and Iqra Manzoor and Dr. Shahid Nazir Bhatti and Aneesa Rida Asghar and Dr. Imtiaz Alam},
  doi       = {10.14569/IJACSA.2017.080453},
  url       = {https://doi.org/10.14569/IJACSA.2017.080453}
}