Journal of Software: Evolution and Process

Cover image for Vol. 26 Issue 2

February 2014

Volume 26, Issue 2

Pages i–iii, 141–279

  1. Issue Information

    1. Top of page
    2. Issue Information
    3. Research Articles
    1. Issue Information (pages i–iii)

      Version of Record online: 24 JAN 2014 | DOI: 10.1002/smr.1623

  2. Research Articles

    1. Top of page
    2. Issue Information
    3. Research Articles
    1. A lean and mean strategy: a data migration industrial study (pages 141–171)

      Maryam Razavian and Patricia Lago

      Version of Record online: 12 SEP 2013 | DOI: 10.1002/smr.1613

      Thumbnail image of graphical abstract

      This paper introduces the notion of the lean and mean migration strategy, and applies and evaluate it in two large industrial case studies in the field of data migration. The use of the lean and mean strategy in our case studies reveals the benefits of this strategy for efficiency demands.

    2. Extended comprehensive study of association measures for fault localization (pages 172–219)

      Lucia Lucia, David Lo, Lingxiao Jiang, Ferdian Thung and Aditya Budi

      Version of Record online: 29 AUG 2013 | DOI: 10.1002/smr.1616

      Thumbnail image of graphical abstract

      Spectrum-based fault localization is a promising approach to automatically locate root causes of failures quickly. This paper investigates the effectiveness of 40 association measures to locate bugs. The evaluation shows there is no best single measure for all cases. Klosgen and Ochiai outperform other measures for localizing bugs in single-bug programs, whereas Added Value could localize bugs in multi-bug programs with the smallest percentage of inspected code. Future research is needed to better localize bugs in multi-bug programs.

    3. Towards a hybrid testing process unifying exploratory testing and scripted testing (pages 220–250)

      Syed Muhammad Ali Shah, Cigdem Gencel, Usman Sattar Alvi and Kai Petersen

      Version of Record online: 29 AUG 2013 | DOI: 10.1002/smr.1621

    4. A conceptual framework for SPI evaluation (pages 251–279)

      Michael Unterkalmsteiner, Tony Gorschek, A. K. M. Moinul Islam, Chow Kian Cheng, Rahadian Bayu Permadi and Robert Feldt

      Version of Record online: 10 OCT 2013 | DOI: 10.1002/smr.1637

      Thumbnail image of graphical abstract

      In this paper, we introduce a framework that supports planning and implementation of Software Process Improvement (SPI) evaluations. SPI Measurement and Evaluation Framework (SPI-MEF) guides the practitioner in scoping the evaluation, determining the measures, and performing the assessment. SPI-MEF does not assume a specific approach to process improvement and can be integrated in existing measurement programs. We developed SPI-MEF based onon the basis of an extensive study of SPI research and industry case studies, and validated and refined it by eliciting expertise from practitioners and academic experts.