Determination of optimal resource allocation for software development — An application of a software equation

Optimizing financial budget for software implementation based on the development effort and cost function

“…The data concerning the modules and some results of the preliminary calculations based on COCOMO model are given in Table 2. The estimated parameters A, B, a, b and the data KDSI j all are taken from [10]. Obtained results are summarized in Table 3.…”

“…(4) is a continuous, convex and unimodal function in the range of (0, CN). The example curves for given constants A, B, a and b of above three mode, unit costs c t Z$5 K and c PM Z$5 K and 20 KDSI (data taken from [10]) are depicted in Fig. 1.…”

“…However, neither model provides a clear mechanism for determining whether a particular combination of development effort and development time is at the maximum productivity level or at the minimum cost. Ho and McDevitt [10] have been suggested a total cost equation expressed by both months of development time and person-months of effort. They extend previous work by proposing a process that allows the software manager to determine the exchange between development effort and development time, which will maximize productivity or minimize cost for a given software system.…”

“…We apply further the combination of development schedule length and effort, which is proposed in [10] and is of the following form…”

Dynamic optimal control model for profit maximization of software product under the influence of promotional effort

“…But, as a complex intellectual process, software systems development and production seem to differ in many aspects from conventional industrial and agricultural production processes which utilize production resources and technology to produce the predetermined products. However, Banker (1984), Banker, Datar, andKemerer (1991, 1994); Banker, Chang, and Kemerer (1994), Boehm (1981), Ho and McDevitt (1990), Hu (1994), and Putnam and Myers (1992) have used the fundamental principles of economic production theory to explain and predict certain behavior of software development. The main motivation behind these studies is to understand the relationships among the significant factors (such as software size, complexity, functionality, manpower, skills, and time) in software systems development in order to determine the optimal levels of these factors in the sense that a software system may be delivered with minimum cost, within the scheduled time duration, and with the predetermined functionality and quality.…”