Software Process Technology

Ambriola, Vincenzo

doi:10.1007/3-540-45752-6

Cited by 2 publications

(2 citation statements)

References 5 publications

(5 reference statements)

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“…Some methodologies and method composition/configuration approaches [5] have incorporated the concept of process patterns, and have defined a template for defining and applying them. Gnatz et al have focused on defining a process framework for the definition and use of process patterns [6]. We have refined and restructured the framework proposed in [6] through applying the layered architecture proposed in [2].…”

Section: A Pattern-based Process Frameworkmentioning

confidence: 99%

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Process Patterns for MDA-Based Software Development

Asadi

Esfahani

Ramsin

2010

2010 Eighth ACIS International Conference on Software Engineering Research, Management and Applications

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Abstract-Information systems are expected to satisfy increasingly ambitious requirements, while reducing time-to-market has become a primary objective. This trend has necessitated the advent of development approaches that are better equipped and flexible enough to cope with modern challenges. Model-Driven Architecture (MDA) and Situational Method Engineering (SME) are approaches addressing this requirement: MDA provides promising means for automating the software process, and revitalizes the role of modeling in software development; SME focuses on project-specific methodology construction, mainly through assembling reusable method fragments (process patterns) retrieved from a method base. We provide a set of high-level process patterns for model-driven development which have been derived from a study of six prominent MDAbased methodologies, and which form the basis for a proposed generic MDA Software Process (MDASP). These process patterns can promote SME by providing classes of common process components which can be used for assembling, tailoring, and extending MDA-based methodologies.

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Section: A Pattern-based Process Frameworkmentioning

confidence: 99%

“…Gnatz et al have focused on defining a process framework for the definition and use of process patterns [6]. We have refined and restructured the framework proposed in [6] through applying the layered architecture proposed in [2]. The resulting pattern-based process framework ( Fig.…”

Section: A Pattern-based Process Frameworkmentioning

confidence: 99%

Process Patterns for MDA-Based Software Development

Asadi

Esfahani

Ramsin

2010

2010 Eighth ACIS International Conference on Software Engineering Research, Management and Applications

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Quantifying Process Quality: The Role of Effective Organizational Learning in Software Evolution

Hönel

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Real-world software applications must constantly evolve to remain relevant. This evolution occurs when developing new applications or adapting existing ones to meet new requirements, make corrections, or incorporate future functionality. Traditional methods of software quality control involve software quality models and continuous code inspection tools. These measures focus on directly assessing the quality of the software. However, there is a strong correlation and causation between the quality of the development process and the resulting software product. Therefore, improving the development process indirectly improves the software product, too. To achieve this, effective learning from past processes is necessary, often embraced through post mortem organizational learning. While qualitative evaluation of large artifacts is common, smaller quantitative changes captured by application lifecycle management are often overlooked. In addition to software metrics, these smaller changes can reveal complex phenomena related to project culture and management. Leveraging these changes can help detect and address such complex issues. Software evolution was previously measured by the size of changes, but the lack of consensus on a reliable and versatile quantification method prevents its use as a dependable metric. Different size classifications fail to reliably describe the nature of evolution. While application lifecycle management data is rich, identifying which artifacts can model detrimental managerial practices remains uncertain. Approaches such as simulation modeling, discrete events simulation, or Bayesian networks have only limited ability to exploit continuous-time process models of such phenomena. Even worse, the accessibility and mechanistic insight into such gray- or black-box models are typically very low. To address these challenges, we suggest leveraging objectively captured digital artifacts from application lifecycle management, combined with qualitative analysis, for efficient organizational learning. A new language-independent metric is proposed to robustly capture the size of changes, significantly improving the accuracy of change nature determination. The classified changes are then used to explore, visualize, and suggest maintenance activities, enabling solid prediction of malpractice presence and -severity, even with limited data. Finally, parts of the automatic quantitative analysis are made accessible, potentially replacing expert-based qualitative analysis in parts.

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Software Process Technology

Cited by 2 publications

References 5 publications

Process Patterns for MDA-Based Software Development

Process Patterns for MDA-Based Software Development

Quantifying Process Quality: The Role of Effective Organizational Learning in Software Evolution

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