The use of optimization techniques has been recently proposed to build models for software development effort estimation. In particular, some studies have been carried out using search-based techniques, such as genetic programming, and the results reported seem to be promising. At the best of our knowledge nobody has analyzed the effectiveness of Tabu search for development effort estimation. T...

Accurate Effort Estimation is a significant task in software development, which is helpful in the scheduling and tracking of the project. A number of estimation models are available for effort calculation. However, a lot of newer models are still being proposed to obtain more accurate estimation .This paper attempts to propose a hybrid technique which incorporates both quality factors and fuzzy...

Software Effort Estimation process is one the most important process in software project management. The importance of software in our daily lives is increasing with every passing day which has resulted in increase in the complexity of softwares. In order to manage software development projects with varying levels of complexity accurate software effort estimations play a pivotal role. This rese...

Accurate software development cost estimation is important for effective project management such as budgeting, project planning and control. So far, no model has proved to be successful at effectively and consistently predicting software development cost. A novel neuro-fuzzy Constructive Cost Model (COCOMO) is proposed for software cost estimation. This model carries some of the desirable featu...

Companies usually have limited amount of data for effort estimation. Machine learning methods have been preferred over parametric models due to their flexibility to calibrate the model for the available data. On the other hand, as machine learning methods become more complex, they need more data to learn from. Therefore the challenge is to increase the performance of the algorithm when there is...

Accurate effort prediction is an ongoing challenge to software engineers. It is an important task in the management of software projects. Effort estimation is the challenging and is an important area in the software project management research field. The development of software has always been characterized by the parameters that contain certain level of fuzziness. This requires some degree of ...

Due to the intangible nature of “software”, accurate and reliable software effort estimation is a challenge in the software Industry. It is unlikely to expect very accurate estimates of software development effort because of the inherent uncertainty in software development projects and the complex and dynamic interaction of factors that impact software development. Heterogeneity exists in the s...

Accurate software development effort estimation is critical to the success of software projects. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software development effort prediction is still a challenging endeavor in the field of software engineering, especially in handling uncertain and imprecise inputs and collinear characterist...

Academia and practitioners confirm that software project effort prediction is crucial for an accurate software project management. However, software development effort estimation is uncertain by nature. Literature has developed methods to improve estimation correctness, using artificial intelligence techniques in many cases. Following this path, this paper presents SEffEst, a framework based on...

Nowadays, software companies have to mange different software development processes based on different time, cost, and number of staff sequentially, which is a very complex task and supports project planning and tracking. Software time, cost and manpower estimation for separate projects is one of the critical and crucial tasks for project managers. Accurate software estimation at an early stage...