Applied Statistics for Software Managers
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer programming / software engineering > Software Engineering > Applied Statistics for Software Managers
Applied Statistics for Software Managers

Applied Statistics for Software Managers


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

Statistical techniques offer immense value to managers and developers who want to maximize quality and efficiency throughout the entire software lifecycle. Finally, there's a guide to using statistical techniques to solve specific software productivity and maintenance problems. Using actual software product data, one of the field's leading experts leads you through every step of the statistical analysis, helping you avoid pitfalls and extract all the value your data has to offer. Katrina Maxwell begins by outlining an intelligent methodology and an exclusive set of "recipes" for analyzing software project data, showing how to answer crucial questions without "getting lost in the data." Starting with actual software project data, organized in a database, Maxwell walks through the entire analysis process, explaining essential techniques such as correlation, regression, and analysis and variance. Along the way, Maxwell presents four real-world case studies focused on the key tasks software project managers face: improving productivity, optimizing time to market, building software development cost models, and identifying software maintenance cost drivers. For all managers, developers, and researchers who want to apply statistical methods to improving the efficiency and quality of their software projects.

Table of Contents:
Preface. 1. Data Analysis Methodology. Graphs. Tables. Correlation Analysis. Stepwise Regression Analysis. Numerical Variable Checks. Categorical Variable Checks. Testing the Residuals. Detecting Influential Observations. 2. Case Study: Software Development Productivity. Creation of New Variables. Data Modifications. Identifying Subsets of Categorical Variables. Model Selection. Graphs. Tables. Correlation Analysis. Stepwise Regression Analysis. Numerical Variable Checks. Categorical Variable Checks. Testing the Residuals. Detecting Influential Observations. 3. Case Study: Time to Market. Model Selection. Graphs. Tables. Correlation Analysis. Stepwise Regression Analysis. Numerical Variable Checks. Categorical Variable Checks. Testing the Residuals. Detecting Influential Observations. 4. Case Study: Developing a Software Development Cost Model. Choice of Data. Model Selection. Graphs. Tables. Correlation Analysis. Stepwise Regression Analysis. Numerical Variable Checks. Categorical Variable Checks. Testing the Residuals. Detecting Influential Observations. Common Accuracy Statistics. Boxplots of Estimation Error. Wilcoxon Signed-Rank Test. Accuracy Segmentation. The 95% Confidence Interval. Identifying Subsets of Categorical Variables. Model Selection. Building the Multi-Variable Model. Checking the Models. Measuring Estimation Accuracy. Comparison of 1991 and 1993 Models. Management Implications. 5. Case Study: Software Maintenance Cost Drivers. It's the Results That Matter. Cost Drivers of Annual Corrective Maintenance (by Katrina D. Maxwell and Pekka Forselius). From Data to Knowledge. Variable and Model Selection. Preliminary Analyses. Building the Multi-Variable Model. Checking the Model. Extracting the Equation. Interpreting the Equation. Accuracy of Model Prediction. The Telon Analysis. Further Analyses. Final Comments. 6. What You Need to Know About Statistics. Describing Individual Variables. The Normal Distribution. Overview of Sampling Theory. Other Probability Distributions. Identifying Relationships in the Data. Comparing Two Estimation Models. Final Comments. Appendix A. Raw Software Development Project Data. Appendix B. Validated Software Development Project Data. Appendix C. Validated Software Maintenance Project Data. Index.

About the Author :
KATRINA D. MAXWELL, Ph.D., a leading international expert in the area of software development productivity, is currently a Partner at Datamax in Fontainebleau, France, specializing in software metrics research, data analysis, and productivity benchmarking. Dr. Maxwell has taught courses in business math and statistics at several academic institutions. She has published research in IEEE Transactions on Software Engineering, IEEE Software, and Management Science.


Best Sellers


Product Details
  • ISBN-13: 9780130417893
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Prentice Hall
  • Height: 176 mm
  • No of Pages: 352
  • ISBN-10: 0130417890
  • Publisher Date: 26 Jun 2002
  • Binding: Paperback
  • Language: English


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Applied Statistics for Software Managers
Pearson Education (US) -
Applied Statistics for Software Managers
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Applied Statistics for Software Managers

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!