Collecting and Categorizing Software Error Data in an Industrial Environment
Language: English
Published by Forgotten Books, 2024
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
US$ 17.32
Quantity: Over 20 available
Add to basketItem description from seller
Print on Demand. This book presents the findings of a research study on software error analysis, providing valuable insights into the identification and classification of software errors. The author examines the occurrence of error types and the difficulty of error correction in relation to different stages of software development. The book proposes a new attribute categorization scheme that effectively classifies errors based on their characteristics, such as major category, type, presence, and data usage. The study also explores the underlying causes of errors, highlighting the significance of unclear requirements and specifications in contributing to software defects. By analyzing a large number of errors, this book sheds light on the challenges of software engineering, offering practical guidance on preventing and correcting errors. It is a valuable resource for software engineers, researchers, and anyone seeking to enhance the quality and reliability of software systems. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…
Seller Inventory # 9781333548148_0
- Title
- Collecting and Categorizing Software Error Data in an Industrial Environment
- Author
- Thomas J. Ostrand, Elaine J. Weyuker
- Publisher
- Forgotten Books
- Publication year
- 2024
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1333548141
- ISBN 13
- 9781333548148
- Seller catalogs
- Statistics
Discover how error data is collected and categorized in a real project to guide better testing and software quality.
This nonfiction study follows a mid‑development to system‑testing project, tracking how errors appear, are reported, and are corrected. The work uses about 10,000 lines of high‑level code and 70,000 bytes of object code, with three programmers over ten months and a later five months of testing and changes. It shows how data collection tools and procedures were designed to capture error symptoms, discovery timing, and fixes in a live environment.
The authors describe the Change Report form and the Software User Report used during testing, along with a practical error categorization scheme. They explain how data from these forms supports better understanding of where errors come from, how they are detected, and how long fixes take. The study also compares its findings with other projects to highlight common patterns in software errors and debugging effort.- How the project collected error information using Change Reports and Software User Reports.
- The multi‑dimensional error categorization that records where, what, how, when, and why of errors.
- Findings on error types, detection timing, and the effort required to isolate and fix issues.
- Comparisons to previous studies to show recurring patterns in software errors and debugging effort.
"Synopsis" may belong to another edition of this title.
Forgotten Books
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.
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