typical tasks in task area a1 (big data and ai architecture): - creation of technical and technical concepts for extensions and new applications, - planning, effort estimation
, - internal and external presentation of concepts, solutions and systems, - advising product owners and other stakeholder groups, - evaluation of big data and ai technologies and procedures for suitability in wdr development projects, - controlling the performance of the task area 2, release management.
is defined as the activity of predicting the amount of effort required to complete a development of software project .
Software Effort Estimation
by Genetic Algorithm Tuned Parameters of Modified Constructive Cost Model for Nasa Software Projects.
The adjusted analogy-based software effort estimation
based on similarity distances.
Factors Affecting the Accuracy of Effort Estimation
in Software Projects Using Use Case Points
In paper  Chua and Vemer determined the rework effort estimation
for requirement changes.
It is especially valuable in the context of early size measurement and effort estimation
, because it employs use cases as an input (Nageswaran, 2001).
Have a risk management strategy in place: In case of unforeseen situations that may increase the cost of the project, expand its scope, prolong effort estimation
or delay the delivery schedule, a robust risk management strategy is required to map out the actions to take in order to ensure a smooth implementation process.
Among the topics of the 15 papers are a hybrid render farm for cluster and cloud environments, detecting outlier research using a clustering algorithm, an ant colony optimization algorithm for software project management, improving software effort estimation
, a comparative study on cloud gaming platforms, applying VPN technology in a multi-campus adult education platform, a security and safety framework for cyber physical systems, the software fault relation model, a neural network based algorithm for predicting the duration of a project, and a summary of software defect models.
Cost and effort estimation
in software projects is a major topic in software engineering research .
Proposed prediction model of software development effort estimation
has been used to predict software development effort by using sixteen independent parameters such as rely, data, cplx, time, stor, virt, turn, acap, aexp, pcab, vexp, lexp, modp, tool, seed, and kloc.
A solid view of utilization and accurate new project effort estimation
is needed to develop and maintain new capabilities within the fixed staff model.