Effect of Schedule Compression on Project Effort
Schedule pressure is often faced by project managers and software developers who want to quickly deploy information systems. Typical strategies to compress project time scales might include adding more staff/personnel, investing in development tools, improving hardware, or improving development me...
| Main Authors: | , , , |
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| Format: | Presentation |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/84158 |
| _version_ | 1811074285837484032 |
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| author | Yang, Ye Chen, Zhihao Valerdi, Ricardo Boehm, Barry |
| author_facet | Yang, Ye Chen, Zhihao Valerdi, Ricardo Boehm, Barry |
| author_sort | Yang, Ye |
| collection | MIT |
| description | Schedule pressure is often faced by project managers and software developers who want to quickly deploy
information systems. Typical strategies to compress project time scales might include adding more
staff/personnel, investing in development tools, improving hardware, or improving development methods. The
tradeoff between cost, schedule, and performance is one of the most important analyses performed during the
planning stages of software development projects. In order to adequately compare the effects of these three
constraints on the project it is essential to understand their individual influence on the project’s outcome.
In this paper, we present an investigation into the effect of schedule compression on software project
development effort and cost and show that people are generally optimistic when estimating the amount of
schedule compression. This paper is divided into three sections. First, we follow the Ideal Effort Multiplier
(IEM) analysis on the SCED cost driver of the COCOMO II model. Second, compare the real schedule
compression ratio exhibited by 161 industry projects and the ratio represented by the SCED cost driver.
Finally, based on the above analysis, a set of newly proposed SCED driver ratings for COCOMO II are
introduced which show an improvement of 6% in the model estimating accuracy. |
| first_indexed | 2024-09-23T09:46:39Z |
| format | Presentation |
| id | mit-1721.1/84158 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T09:46:39Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | mit-1721.1/841582019-04-11T07:29:17Z Effect of Schedule Compression on Project Effort Yang, Ye Chen, Zhihao Valerdi, Ricardo Boehm, Barry schedule compression COCOMO II SCED Driver software cost/effort estimation Schedule pressure is often faced by project managers and software developers who want to quickly deploy information systems. Typical strategies to compress project time scales might include adding more staff/personnel, investing in development tools, improving hardware, or improving development methods. The tradeoff between cost, schedule, and performance is one of the most important analyses performed during the planning stages of software development projects. In order to adequately compare the effects of these three constraints on the project it is essential to understand their individual influence on the project’s outcome. In this paper, we present an investigation into the effect of schedule compression on software project development effort and cost and show that people are generally optimistic when estimating the amount of schedule compression. This paper is divided into three sections. First, we follow the Ideal Effort Multiplier (IEM) analysis on the SCED cost driver of the COCOMO II model. Second, compare the real schedule compression ratio exhibited by 161 industry projects and the ratio represented by the SCED cost driver. Finally, based on the above analysis, a set of newly proposed SCED driver ratings for COCOMO II are introduced which show an improvement of 6% in the model estimating accuracy. 2014-01-23T16:28:39Z 2014-01-23T16:28:39Z 2005-06-14 Presentation Technical Report http://hdl.handle.net/1721.1/84158 Attribution-NonCommercial-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-nc-sa/3.0/us/ application/pdf |
| spellingShingle | schedule compression COCOMO II SCED Driver software cost/effort estimation Yang, Ye Chen, Zhihao Valerdi, Ricardo Boehm, Barry Effect of Schedule Compression on Project Effort |
| title | Effect of Schedule Compression on Project Effort |
| title_full | Effect of Schedule Compression on Project Effort |
| title_fullStr | Effect of Schedule Compression on Project Effort |
| title_full_unstemmed | Effect of Schedule Compression on Project Effort |
| title_short | Effect of Schedule Compression on Project Effort |
| title_sort | effect of schedule compression on project effort |
| topic | schedule compression COCOMO II SCED Driver software cost/effort estimation |
| url | http://hdl.handle.net/1721.1/84158 |
| work_keys_str_mv | AT yangye effectofschedulecompressiononprojecteffort AT chenzhihao effectofschedulecompressiononprojecteffort AT valerdiricardo effectofschedulecompressiononprojecteffort AT boehmbarry effectofschedulecompressiononprojecteffort |