✦ LIBER ✦

Economics of software project management in Tunisia: Basic TUCOMO

✍ Scribed by R Marouane; A Mili

Publisher: Elsevier Science
Year: 1989
Tongue: English
Weight: 579 KB
Volume: 31
Category: Article
ISSN: 0950-5849
DOI: 10.1016/0950-5849(89)90004-9

No coin nor oath required. For personal study only.

✦ Synopsis

The data processing culture that prevails in Tunisia in 1988 is in many respects very different from that which prevailed in the USA in the 1960s and '70s. Hence it can hardly be expected that Boehm's COCOMO equations, which are based on 63 American software projects realised between 1965 and 1979, will be applicable to Tunisia today. A survey is conducted in Tunisia to derive specific COCO MO-like equations, which are called TUCOMO. The paper reports on the survey and its preliminary results.

📜 SIMILAR VOLUMES

Project management in the development of

Project management in the development of scientific software

✍ Jochen Platz 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 690 KB

Considering quality in the management of

Considering quality in the management of software-based development projects

✍ FJ Redmill 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 513 KB

Comments on ‘Considering quality in the

Comments on ‘Considering quality in the management of software-based development projects’

✍ B Kitchenham 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 239 KB

Perceived economic factors influencing t

Perceived economic factors influencing the sustainability of integrated coastal management projects in the Philippines

✍ Robert S. Pomeroy; Enrique G. Oracion; Richard B. Pollnac; Demberge A. Caballes 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 236 KB

An example of information management in

An example of information management in biology: Qualitative data economizing theory applied to the Human Genome Project databases

✍ Iraj Daizadeh 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 75 KB 👁 3 views

## Abstract Ironically, although much work has been done on elucidating algorithms for enabling scientists to efficiently retrieve relevant information from the glut of data derived from the efforts of the Human Genome Project and other similar projects, little has been performed on optimizing the