An Exploratory Investigation of Programmer Performance Under On-Line and Off-Line Conditions

Grant, E.E.; Sackman, Harold

doi:10.1109/thfe.1967.233303

Cited by 59 publications

(14 citation statements)

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“…Other attempts have not been so successful . Sachman [ 6 ] found interprogramer variation so great that , wi th a small sample of people , it overshadowed the conclusions that interactive was superior to batch-oriented progranining. Similarly, Reinstedt [ 7 ] found no rel iable personnel selection predictors of success as a programer.…”

Section: Discussionmentioning

confidence: 98%

Software Data Collection Study. Volume II. An Analysis of Software Data Collection Problems and Current Capabilities.

Willmorth¹,

Finfer²,

Templeton³

1976

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Section: Discussionmentioning

confidence: 98%

Software Data Collection Study. Volume II. An Analysis of Software Data Collection Problems and Current Capabilities.

Willmorth¹,

Finfer²,

Templeton³

1976

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“…Grant and Sackman [7] recorded the time taken by 12 programmers while debugging a given task and found that the time taken by slowest programmer compared to that of fastest programmer was in the ratio of 28:1. Prechelt's study [8] revealed that a programmer may take 50% more or less time when compared with the average time taken by all programmers.…”

Section: Related Workmentioning

confidence: 99%

High Productivity Programmers Use Effective Task Processes in Unit-Testing

Kamma

Jalote

2015

2015 Asia-Pacific Software Engineering Conference (APSEC)

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Software productivity is influenced by how efficiently programmers execute tasks assigned to them. For executing a task, programmers execute several steps. How the execution of these steps is organized by a programmer is referred to as task process. While overall software process has been well studied, the impact of task processes has not been studied much. In this work, we study the impact of task processes on the productivity of programmers. We first model a task process as a Markov chain with each state representing a step, and then study the difference in task processes of high and low productivity programmers using the Euclidean distance between Markov chains. We applied this method in a field study conducted at Robert Bosch Engineering & Business Solutions Private Limited, a CMMi Level 5 software company. We analyzed the task processes of eighteen programmers from three live model-based unit-testing projects, and modeled them as Markov chains. We compared the task processes used by a programmer for executing similar tasks, and then compared the task processes of programmers within the same group (high/low productivity) and across groups. The results of the study indicate: a) each programmer uses similar task processes for executing similar tasks, though the task processes of a high productivity programmer are more similar than the task processes of a low productivity programmer, b) task processes of high productivity programmers are similar to each other, and c) task processes of a low productivity programmer differ widely from high productivity programmers.

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“…In software engineering, few studies [5,6,13] have recorded the time taken by programmers while debugging a given task. These studies reveal that some programmers are more productive than others; exploring the reason behind it at the task level or programmer level would improve productivity.…”

Section: Motivationmentioning

confidence: 99%

Study of task processes for improving programmer productivity

Kamma

2014

Companion Proceedings of the 36th International Conference on Software Engineering

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In a mature overall process of software development, productivity of a software project considerably depends on the effectiveness with which programmers execute tasks. A task process refers to the processes used by a programmer for executing an assigned task. This research focuses on studying the effect of task processes on programmer productivity. Our approach first identifies high productivity and average productivity programmers, then understands the task processes used by the two groups, the similarities between the task processes used by programmers within a group, and differences between the task processes in the two groups. This study is part of an ongoing study being conducted at a CMMi Level 5 software company. The results so far indicate that there are differences in task processes followed by high and average productivity programmers, and that it may be possible to improve the productivity of average productivity programmers by training them to use the task processes followed by the high productivity programmers.

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An Exploratory Investigation of Programmer Performance Under On-Line and Off-Line Conditions

Cited by 59 publications

References 1 publication

Software Data Collection Study. Volume II. An Analysis of Software Data Collection Problems and Current Capabilities.

Software Data Collection Study. Volume II. An Analysis of Software Data Collection Problems and Current Capabilities.

High Productivity Programmers Use Effective Task Processes in Unit-Testing

Study of task processes for improving programmer productivity

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